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- affiliation: Deepmind, London, UK
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2020 – today
- 2024
[j43]Bernardino Romera-Paredes
, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi:
Mathematical discoveries from program search with large language models. Nat. 625(7995): 468-475 (2024)- [i108]Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli:
Quantum Circuit Optimization with AlphaTensor. CoRR abs/2402.14396 (2024) - [i107]Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle:
Operationalizing Contextual Integrity in Privacy-Conscious Assistants. CoRR abs/2408.02373 (2024) - 2023
- [j42]Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver:
Faster sorting algorithms discovered using deep reinforcement learning. Nat. 618(7964): 257-263 (2023) - [j41]Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik:
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [i106]Ira Ktena, Olivia Wiles, Isabela Albuquerque, Sylvestre-Alvise Rebuffi, Ryutaro Tanno, Abhijit Guha Roy, Shekoofeh Azizi, Danielle Belgrave, Pushmeet Kohli, Alan Karthikesalingam, A. Taylan Cemgil, Sven Gowal:
Generative models improve fairness of medical classifiers under distribution shifts. CoRR abs/2304.09218 (2023) - [i105]David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy, Tatiana Matejovicova, Melih Barsbey, Patricia Strachan, Mike Schaekermann, Jan Freyberg, Rajeev V. Rikhye, Beverly Freeman, Javier Perez Matos, Umesh Telang, Dale R. Webster, Yuan Liu, Gregory S. Corrado, Yossi Matias, Pushmeet Kohli, Yun Liu, Arnaud Doucet, Alan Karthikesalingam:
Evaluating AI systems under uncertain ground truth: a case study in dermatology. CoRR abs/2307.02191 (2023) - [i104]Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle:
Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR abs/2308.10888 (2023) - [i103]Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin J. Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli:
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network. CoRR abs/2310.05900 (2023) - [i102]Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Sumedh Ghaisas, Sumanth Dathathri, Abigail See, Johannes Welbl, Karan Singhal, Shekoofeh Azizi, Tao Tu, Mike Schaekermann, Rhys May, Roy Lee, SiWai Man, Zahra Ahmed, S. Sara Mahdavi, Danielle Belgrave, Vivek Natarajan, Shravya Shetty, Pushmeet Kohli, Po-Sen Huang, Alan Karthikesalingam, Ira Ktena:
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation. CoRR abs/2311.18260 (2023) - 2022
- [j40]Mihaly Varadi, Stephen Anyango, Mandar S. Deshpande, Sreenath Nair, Cindy Natassia, Galabina Yordanova, David Yuan, Oana Stroe, Gemma Wood, Agata Laydon, Augustin Zídek, Tim Green, Kathryn Tunyasuvunakool, Stig Petersen, John Jumper, Ellen Clancy, Richard Green, Ankur Vora, Mira Lutfi, Michael Figurnov, Andrew Cowie, Nicole Hobbs, Pushmeet Kohli, Gerard J. Kleywegt, Ewan Birney, Demis Hassabis, Sameer Velankar:
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 50(D1): 439-444 (2022) - [j39]Jonas Degrave, Federico Felici, Jonas Buchli, Michael Neunert, Brendan D. Tracey, Francesco Carpanese, Timo Ewalds, Roland Hafner, Abbas Abdolmaleki, Diego de Las Casas, Craig Donner, Leslie Fritz, Cristian Galperti, Andrea Huber, James Keeling, Maria Tsimpoukelli, Jackie Kay, Antoine Merle, Jean-Marc Moret, Seb Noury, Federico Pesamosca, David Pfau, Olivier Sauter, Cristian Sommariva, Stefano Coda, Basil Duval, Ambrogio Fasoli, Pushmeet Kohli, Koray Kavukcuoglu, Demis Hassabis, Martin A. Riedmiller:
Magnetic control of tokamak plasmas through deep reinforcement learning. Nat. 602(7897): 414-419 (2022) - [j38]Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli:
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610(7930): 47-53 (2022) - [c180]Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David Pfau, Pushmeet Kohli, Marek J. Sergot:
Making Sense of Raw Input (Extended Abstract). IJCAI 2022: 5727-5731 - [i101]Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals:
Competition-Level Code Generation with AlphaCode. CoRR abs/2203.07814 (2022) - 2021
- [j37]Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, Seungpil Won:
Partition-Merge: Distributed Inference and Modularity Optimization. IEEE Access 9: 54032-54055 (2021) - [j36]Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot:
Making sense of sensory input. Artif. Intell. 293: 103438 (2021) - [j35]Richard Evans, Matko Bosnjak, Lars Buesing, Kevin Ellis, David P. Reichert, Pushmeet Kohli, Marek J. Sergot:
Making sense of raw input. Artif. Intell. 299: 103521 (2021) - [j34]Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli:
Advancing mathematics by guiding human intuition with AI. Nat. 600(7887): 70-74 (2021) - [c179]Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang:
Challenges in Detoxifying Language Models. EMNLP (Findings) 2021: 2447-2469 - [c178]Sven Gowal, Po-Sen Huang, Aäron van den Oord, Timothy A. Mann, Pushmeet Kohli:
Self-supervised Adversarial Robustness for the Low-label, High-data Regime. ICLR 2021 - [i100]Alessandro De Palma, Rudy Bunel, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition. CoRR abs/2104.06718 (2021) - [i99]Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler:
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR abs/2106.14108 (2021) - [i98]Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, Po-Sen Huang:
Challenges in Detoxifying Language Models. CoRR abs/2109.07445 (2021) - 2020
- [j33]Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar:
Branch and Bound for Piecewise Linear Neural Network Verification. J. Mach. Learn. Res. 21: 42:1-42:39 (2020) - [j32]Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis:
Improved protein structure prediction using potentials from deep learning. Nat. 577(7792): 706-710 (2020) - [c177]Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. CVPR 2020: 1208-1217 - [c176]Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. CVPR 2020: 9480-9489 - [c175]Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli:
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. EMNLP (Findings) 2020: 65-83 - [c174]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy (Dj) Dvijotham, Pushmeet Kohli:
Adversarially Robust Representations with Smooth Encoders. ICLR 2020 - [c173]Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli:
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR 2020 - [c172]Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals:
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs. ICLR 2020 - [c171]Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli:
Towards Verified Robustness under Text Deletion Interventions. ICLR 2020 - [c170]Tsui-Wei Weng, Krishnamurthy (Dj) Dvijotham, Jonathan Uesato, Kai Xiao, Sven Gowal, Robert Stanforth, Pushmeet Kohli:
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control. ICLR 2020 - [c169]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: Collision Events for Video Representation and Reasoning. ICLR 2020 - [c168]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
The Autoencoding Variational Autoencoder. NeurIPS 2020 - [c167]Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli:
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. NeurIPS 2020 - [c166]Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli:
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. NeurIPS 2020 - [c165]Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Lagrangian Decomposition for Neural Network Verification. UAI 2020: 370-379 - [i97]Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Lagrangian Decomposition for Neural Network Verification. CoRR abs/2002.10410 (2020) - [i96]Yujia Li, Felix Gimeno, Pushmeet Kohli, Oriol Vinyals:
Strong Generalization and Efficiency in Neural Programs. CoRR abs/2007.03629 (2020) - [i95]Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot:
Evaluating the Apperception Engine. CoRR abs/2007.05367 (2020) - [i94]Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger:
Contrastive Training for Improved Out-of-Distribution Detection. CoRR abs/2007.05566 (2020) - [i93]Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy A. Mann, Pushmeet Kohli:
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples. CoRR abs/2010.03593 (2020) - [i92]Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian J. Goodfellow, Percy Liang, Pushmeet Kohli:
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming. CoRR abs/2010.11645 (2020) - [i91]Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli:
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. CoRR abs/2010.15040 (2020) - [i90]Jamie Hayes, Krishnamurthy Dvijotham, Yutian Chen, Sander Dieleman, Pushmeet Kohli, Norman Casagrande:
Towards transformation-resilient provenance detection of digital media. CoRR abs/2011.07355 (2020) - [i89]A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli:
Autoencoding Variational Autoencoder. CoRR abs/2012.03715 (2020) - [i88]Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols:
Solving Mixed Integer Programs Using Neural Networks. CoRR abs/2012.13349 (2020)
2010 – 2019
- 2019
- [j31]Danhang Tang, Qi Ye, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2161-2175 (2019) - [j30]Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. SIAM J. Imaging Sci. 12(1): 287-318 (2019) - [c164]Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli:
Degenerate Feedback Loops in Recommender Systems. AIES 2019: 383-390 - [c163]Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel:
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. AAMAS 2019: 1134-1142 - [c162]Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli:
Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications. CVPR 2019: 12260-12269 - [c161]Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) 2019: 4081-4091 - [c160]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Arthur Mann, Pushmeet Kohli:
Scalable Verified Training for Provably Robust Image Classification. ICCV 2019: 4841-4850 - [c159]Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Seyed Arian Hosseini, Pushmeet Kohli, Edward Grefenstette:
Learning to Understand Goal Specifications by Modelling Reward. ICLR (Poster) 2019 - [c158]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. ICLR 2019 - [c157]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. ICLR (Poster) 2019 - [c156]Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. ICLR (Poster) 2019 - [c155]David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli:
Analysing Mathematical Reasoning Abilities of Neural Models. ICLR (Poster) 2019 - [c154]Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy (Dj) Dvijotham, Nicolas Heess, Pushmeet Kohli:
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. ICLR (Poster) 2019 - [c153]Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick:
Structured agents for physical construction. ICML 2019: 464-474 - [c152]Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia:
CompILE: Compositional Imitation Learning and Execution. ICML 2019: 3418-3428 - [c151]Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli:
Graph Matching Networks for Learning the Similarity of Graph Structured Objects. ICML 2019: 3835-3845 - [c150]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Verify and Train Deep Networks. IJCAI 2019: 6156-6160 - [c149]Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli:
Learning Transferable Graph Exploration. NeurIPS 2019: 2514-2525 - [c148]Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang, Alhussein Fawzi, Robert Stanforth, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019: 12192-12202 - [c147]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. NeurIPS 2019: 13824-13833 - [c146]Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli:
Efficient Neural Network Verification with Exactness Characterization. UAI 2019: 497-507 - [i87]Chongli Qin, Krishnamurthy (Dj) Dvijotham, Brendan O'Donoghue, Rudy Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Verification of Non-Linear Specifications for Neural Networks. CoRR abs/1902.09592 (2019) - [i86]Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli:
Degenerate Feedback Loops in Recommender Systems. CoRR abs/1902.10730 (2019) - [i85]Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh:
Meta-Learning surrogate models for sequential decision making. CoRR abs/1903.11907 (2019) - [i84]David Saxton, Edward Grefenstette, Felix Hill, Pushmeet Kohli:
Analysing Mathematical Reasoning Abilities of Neural Models. CoRR abs/1904.01557 (2019) - [i83]Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick:
Structured agents for physical construction. CoRR abs/1904.03177 (2019) - [i82]Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli:
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications. CoRR abs/1904.12004 (2019) - [i81]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. CoRR abs/1904.12584 (2019) - [i80]Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli:
Graph Matching Networks for Learning the Similarity of Graph Structured Objects. CoRR abs/1904.12787 (2019) - [i79]Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals:
REGAL: Transfer Learning For Fast Optimization of Computation Graphs. CoRR abs/1905.02494 (2019) - [i78]Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR abs/1905.13077 (2019) - [i77]Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli:
Are Labels Required for Improving Adversarial Robustness? CoRR abs/1905.13725 (2019) - [i76]Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli:
Adversarial Robustness through Local Linearization. CoRR abs/1907.02610 (2019) - [i75]Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli:
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR abs/1909.01492 (2019) - [i74]Rudy Bunel, Jingyue Lu, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar:
Branch and Bound for Piecewise Linear Neural Network Verification. CoRR abs/1909.06588 (2019) - [i73]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. CoRR abs/1910.01442 (2019) - [i72]Richard Evans, José Hernández-Orallo, Johannes Welbl, Pushmeet Kohli, Marek J. Sergot:
Making sense of sensory input. CoRR abs/1910.02227 (2019) - [i71]Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy A. Mann, Pushmeet Kohli:
An Alternative Surrogate Loss for PGD-based Adversarial Testing. CoRR abs/1910.09338 (2019) - [i70]Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli:
Learning Transferable Graph Exploration. CoRR abs/1910.12980 (2019) - [i69]Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, Pushmeet Kohli:
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation. CoRR abs/1911.03064 (2019) - [i68]Daniel Zoran, Mike Chrzanowski, Po-Sen Huang, Sven Gowal, Alex Mott, Pushmeet Kohli:
Towards Robust Image Classification Using Sequential Attention Models. CoRR abs/1912.02184 (2019) - [i67]Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations. CoRR abs/1912.03192 (2019) - 2018
- [c145]Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka:
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. AISTATS 2018: 745-754 - [c144]Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette:
Jointly Learning "What" and "How" from Instructions and Goal-States. ICLR (Workshop) 2018 - [c143]Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli:
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. ICLR (Poster) 2018 - [c142]Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette:
Can Neural Networks Understand Logical Entailment? ICLR (Poster) 2018 - [c141]Jonathan Uesato, Brendan O'Donoghue, Pushmeet Kohli, Aäron van den Oord:
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. ICML 2018: 5032-5041 - [c140]Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri:
Programmatically Interpretable Reinforcement Learning. ICML 2018: 5052-5061 - [c139]Sahil Bhatia, Pushmeet Kohli, Rishabh Singh:
Neuro-symbolic program corrector for introductory programming assignments. ICSE 2018: 60-70 - [c138]Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. NeurIPS 2018: 1039-1050 - [c137]Rudy Bunel, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, Pawan Kumar Mudigonda:
A Unified View of Piecewise Linear Neural Network Verification. NeurIPS 2018: 4795-4804 - [c136]Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Scalable Verification of Deep Networks. UAI 2018: 550-559 - [i66]Jonathan Uesato, Brendan O'Donoghue, Aäron van den Oord, Pushmeet Kohli:
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks. CoRR abs/1802.05666 (2018) - [i65]Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette:
Can Neural Networks Understand Logical Entailment? CoRR abs/1802.08535 (2018) - [i64]Krishnamurthy Dvijotham, Robert Stanforth, Sven Gowal, Timothy A. Mann, Pushmeet Kohli:
A Dual Approach to Scalable Verification of Deep Networks. CoRR abs/1803.06567 (2018) - [i63]Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri:
Programmatically Interpretable Reinforcement Learning. CoRR abs/1804.02477 (2018) - [i62]Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli:
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. CoRR abs/1805.04276 (2018) - [i61]Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan, Rudy Bunel, Mathieu Salzmann, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials. CoRR abs/1805.09028 (2018) - [i60]Krishnamurthy Dvijotham, Sven Gowal, Robert Stanforth, Relja Arandjelovic, Brendan O'Donoghue, Jonathan Uesato, Pushmeet Kohli:
Training verified learners with learned verifiers. CoRR abs/1805.10265 (2018) - [i59]Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier:
Value Propagation Networks. CoRR abs/1805.11199 (2018) - [i58]Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew M. Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu:
Relational inductive biases, deep learning, and graph networks. CoRR abs/1806.01261 (2018) - [i57]Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli, Edward Grefenstette:
Learning to Follow Language Instructions with Adversarial Reward Induction. CoRR abs/1806.01946 (2018) - [i56]Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. CoRR abs/1810.02338 (2018) - [i55]Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy A. Mann, Pushmeet Kohli:
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models. CoRR abs/1810.12715 (2018) - [i54]Edward Grefenstette, Robert Stanforth, Brendan O'Donoghue, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli:
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles. CoRR abs/1811.09300 (2018) - [i53]Thomas Kipf, Yujia Li, Hanjun Dai, Vinícius Flores Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter W. Battaglia:
Compositional Imitation Learning: Explaining and executing one task at a time. CoRR abs/1812.01483 (2018) - [i52]Jonathan Uesato, Ananya Kumar, Csaba Szepesvári, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli:
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures. CoRR abs/1812.01647 (2018) - [i51]Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli:
Verification of deep probabilistic models. CoRR abs/1812.02795 (2018) - [i50]Miljan Martic, Jan Leike, Andrew Trask, Matteo Hessel, Shane Legg, Pushmeet Kohli:
Scaling shared model governance via model splitting. CoRR abs/1812.05979 (2018) - [i49]Nils Jansen, Joost-Pieter Katoen, Pushmeet Kohli, Jan Kretínský:
Machine Learning and Model Checking Join Forces (Dagstuhl Seminar 18121). Dagstuhl Reports 8(3): 74-93 (2018) - 2017
- [c135]Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli:
Neural Scene De-rendering. CVPR 2017: 7035-7043 - [c134]Yinda Zhang, Mingru Bai, Pushmeet Kohli, Shahram Izadi, Jianxiong Xiao:
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding. ICCV 2017: 1201-1210 - [c133]Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa:
Raster-to-Vector: Revisiting Floorplan Transformation. ICCV 2017: 2214-2222 - [c132]Kyle Olszewski, Zimo Li, Chao Yang, Yi Zhou, Ronald Yu, Zeng Huang, Sitao Xiang, Shunsuke Saito, Pushmeet Kohli, Hao Li:
Realistic Dynamic Facial Textures from a Single Image Using GANs. ICCV 2017: 5439-5448 - [c131]Lukasz Romaszko, Christopher K. I. Williams, Pol Moreno, Pushmeet Kohli:
Vision-as-Inverse-Graphics: Obtaining a Rich 3D Explanation of a Scene from a Single Image. ICCV Workshops 2017: 940-948 - [c130]Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli:
Learning to superoptimize programs. ICLR (Poster) 2017 - [c129]Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli:
Neuro-Symbolic Program Synthesis. ICLR (Poster) 2017 - [c128]Yingzhen Yang, Jiahui Yu, Pushmeet Kohli, Jianchao Yang, Thomas S. Huang:
Support Regularized Sparse Coding and Its Fast Encoder. ICLR (Poster) 2017 - [c127]Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton:
Learning Continuous Semantic Representations of Symbolic Expressions. ICML 2017: 80-88 - [c126]Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli:
RobustFill: Neural Program Learning under Noisy I/O. ICML 2017: 990-998 - [c125]Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson:
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. ICML 2017: 1146-1155 - [c124]Junhyuk Oh, Satinder Singh, Honglak Lee, Pushmeet Kohli:
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning. ICML 2017: 2661-2670 - [c123]Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli:
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. ICML 2017: 3656-3664 - [c122]Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum:
Learning to See Physics via Visual De-animation. NIPS 2017: 153-164 - [c121]Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew J. Hausknecht, Pushmeet Kohli:
Neural Program Meta-Induction. NIPS 2017: 2080-2088 - [c120]Siddharth Narayanaswamy, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Noah D. Goodman, Pushmeet Kohli, Frank D. Wood, Philip H. S. Torr:
Learning Disentangled Representations with Semi-Supervised Deep Generative Models. NIPS 2017: 5925-5935 - [c119]Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow:
Learning Shape Analysis. SAS 2017: 66-87 - [c118]Rishabh Singh, Pushmeet Kohli:
AP: Artificial Programming. SNAPL 2017: 16:1-16:12 - [i48]Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson:
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. CoRR abs/1702.08887 (2017) - [i47]Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli:
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning. CoRR abs/1703.01973 (2017) - [i46]Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli:
RobustFill: Neural Program Learning under Noisy I/O. CoRR abs/1703.07469 (2017) - [i45]Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli:
Deep API Programmer: Learning to Program with APIs. CoRR abs/1704.04327 (2017) - [i44]N. Siddharth, Brooks Paige, Jan-Willem van de Meent, Alban Desmaison, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr:
Learning Disentangled Representations with Semi-Supervised Deep Generative Models. CoRR abs/1706.00400 (2017) - [i43]Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka:
Batched Large-scale Bayesian Optimization in High-dimensional Spaces. CoRR abs/1706.01445 (2017) - [i42]Junhyuk Oh, Satinder Singh, Honglak Lee, Pushmeet Kohli:
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning. CoRR abs/1706.05064 (2017) - [i41]Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew J. Hausknecht, Pushmeet Kohli:
Neural Program Meta-Induction. CoRR abs/1710.04157 (2017) - [i40]Jacob Devlin, Jonathan Uesato, Rishabh Singh, Pushmeet Kohli:
Semantic Code Repair using Neuro-Symbolic Transformation Networks. CoRR abs/1710.11054 (2017) - [i39]Rudy Bunel, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, M. Pawan Kumar:
Piecewise Linear Neural Network verification: A comparative study. CoRR abs/1711.00455 (2017) - 2016
- [j29]Matteo Venanzi, John Guiver, Pushmeet Kohli, Nicholas R. Jennings:
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. J. Artif. Intell. Res. 56: 517-545 (2016) - [j28]Mingsong Dou, Sameh Khamis, Yury Degtyarev, Philip Davidson, Sean Ryan Fanello, Adarsh Kowdle, Sergio Orts-Escolano, Christoph Rhemann, David Kim, Jonathan Taylor, Pushmeet Kohli, Vladimir Tankovich, Shahram Izadi:
Fusion4D: real-time performance capture of challenging scenes. ACM Trans. Graph. 35(4): 114:1-114:13 (2016) - [j27]Jonathan Taylor, Lucas Bordeaux, Thomas J. Cashman, Bob Corish, Cem Keskin, Toby Sharp, Eduardo Soto, David Sweeney, Julien P. C. Valentin, Benjamin Luff, Arran Topalian, Erroll Wood, Sameh Khamis, Pushmeet Kohli, Shahram Izadi, Richard Banks, Andrew W. Fitzgibbon, Jamie Shotton:
Efficient and precise interactive hand tracking through joint, continuous optimization of pose and correspondences. ACM Trans. Graph. 35(4): 143:1-143:12 (2016) - [c117]Julien P. C. Valentin, Angela Dai, Matthias Nießner, Pushmeet Kohli, Philip H. S. Torr, Shahram Izadi, Cem Keskin:
Learning to Navigate the Energy Landscape. 3DV 2016: 323-332 - [c116]Shenlong Wang, Sean Ryan Fanello, Christoph Rhemann, Shahram Izadi, Pushmeet Kohli:
The Global Patch Collider. CVPR 2016: 127-135 - [c115]Chen Liu, Pushmeet Kohli, Yasutaka Furukawa:
Layered Scene Decomposition via the Occlusion-CRF. CVPR 2016: 165-173 - [c114]Pol Moreno, Christopher K. I. Williams, Charlie Nash, Pushmeet Kohli:
Overcoming Occlusion with Inverse Graphics. ECCV Workshops (3) 2016: 170-185 - [c113]Edward Grant, Pushmeet Kohli, Marcel van Gerven:
Deep Disentangled Representations for Volumetric Reconstruction. ECCV Workshops (3) 2016: 266-279 - [c112]Alban Desmaison, Rudy Bunel, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Continuous Relaxations for Dense CRF. ECCV (2) 2016: 818-833 - [c111]Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. HLT-NAACL 2016: 839-849 - [c110]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [c109]Mikhail Figurnov, Aizhan Ibraimova, Dmitry P. Vetrov, Pushmeet Kohli:
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. NIPS 2016: 947-955 - [c108]Rudy Bunel, Alban Desmaison, Pawan Kumar Mudigonda, Pushmeet Kohli, Philip H. S. Torr:
Adaptive Neural Compilation. NIPS 2016: 1444-1452 - [c107]Tarun Kathuria, Amit Deshpande, Pushmeet Kohli:
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes. NIPS 2016: 4206-4214 - [c106]Nasrin Mostafazadeh, Lucy Vanderwende, Wen-tau Yih, Pushmeet Kohli, James F. Allen:
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next. RepEval@ACL 2016: 24-29 - [c105]Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli:
Political Dimensionality Estimation Using a Probabilistic Graphical Model. UAI 2016 - [c104]Sergio Orts-Escolano, Christoph Rhemann, Sean Ryan Fanello, Wayne Chang, Adarsh Kowdle, Yury Degtyarev, David Kim, Philip Davidson, Sameh Khamis, Mingsong Dou, Vladimir Tankovich, Charles T. Loop, Qin Cai, Philip A. Chou, Sarah Mennicken, Julien P. C. Valentin, Vivek Pradeep, Shenlong Wang, Sing Bing Kang, Pushmeet Kohli, Yuliya Lutchyn, Cem Keskin, Shahram Izadi:
Holoportation: Virtual 3D Teleportation in Real-time. UIST 2016: 741-754 - [i38]Rodrigo Nogueira, Taesup Kim, Abdel-rahman Mohamed, Ahmed Hassan Awadallah, Pushmeet Kohli, Ahmed Mohamed:
MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track. TAC 2016 - [i37]Yinda Zhang, Mingru Bai, Pushmeet Kohli, Shahram Izadi, Jianxiong Xiao:
DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding. CoRR abs/1603.04922 (2016) - [i36]Julien P. C. Valentin, Angela Dai, Matthias Nießner, Pushmeet Kohli, Philip H. S. Torr, Shahram Izadi, Cem Keskin:
Learning to Navigate the Energy Landscape. CoRR abs/1603.05772 (2016) - [i35]Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories. CoRR abs/1604.01696 (2016) - [i34]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. CoRR abs/1604.03968 (2016) - [i33]Rudy Bunel, Alban Desmaison, Pushmeet Kohli, Philip H. S. Torr, Pawan Kumar Mudigonda:
Adaptive Neural Compilation. CoRR abs/1605.07969 (2016) - [i32]Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow:
TerpreT: A Probabilistic Programming Language for Program Induction. CoRR abs/1608.04428 (2016) - [i31]Alban Desmaison, Rudy Bunel, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar:
Efficient Continuous Relaxations for Dense CRF. CoRR abs/1608.06192 (2016) - [i30]Edward Grant, Pushmeet Kohli, Marcel van Gerven:
Deep disentangled representations for volumetric reconstruction. CoRR abs/1610.03777 (2016) - [i29]Miltiadis Allamanis, Pankajan Chanthirasegaran, Pushmeet Kohli, Charles Sutton:
Learning Continuous Semantic Representations of Symbolic Expressions. CoRR abs/1611.01423 (2016) - [i28]Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli:
Learning to superoptimize programs. CoRR abs/1611.01787 (2016) - [i27]Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli:
Neuro-Symbolic Program Synthesis. CoRR abs/1611.01855 (2016) - [i26]Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli:
Memory-augmented Attention Modelling for Videos. CoRR abs/1611.02261 (2016) - [i25]Tarun Kathuria, Amit Deshpande, Pushmeet Kohli:
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes. CoRR abs/1611.04088 (2016) - [i24]N. Siddharth, Brooks Paige, Alban Desmaison, Jan-Willem van de Meent, Frank D. Wood, Noah D. Goodman, Pushmeet Kohli, Philip H. S. Torr:
Inducing Interpretable Representations with Variational Autoencoders. CoRR abs/1611.07492 (2016) - [i23]Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow:
Summary - TerpreT: A Probabilistic Programming Language for Program Induction. CoRR abs/1612.00817 (2016) - [i22]Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli:
Learning to superoptimize programs - Workshop Version. CoRR abs/1612.01094 (2016) - [i21]Chen Liu, Jiajun Wu, Pushmeet Kohli, Yasutaka Furukawa:
Deep Multi-Modal Image Correspondence Learning. CoRR abs/1612.01225 (2016) - [i20]Chen Liu, Hang Yan, Pushmeet Kohli, Yasutaka Furukawa:
Multi-way Particle Swarm Fusion. CoRR abs/1612.01234 (2016) - 2015
- [j26]Tuanfeng Y. Wang, Pushmeet Kohli, Niloy J. Mitra:
Dynamic SfM: Detecting Scene Changes from Image Pairs. Comput. Graph. Forum 34(5): 177-189 (2015) - [j25]Sergey Milyaev, Olga Barinova, Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky:
Fast and accurate scene text understanding with image binarization and off-the-shelf OCR. Int. J. Document Anal. Recognit. 18(2): 169-182 (2015) - [j24]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. 34(5): 154:1-154:17 (2015) - [j23]Peter Ondruska, Pushmeet Kohli, Shahram Izadi:
MobileFusion: Real-Time Volumetric Surface Reconstruction and Dense Tracking on Mobile Phones. IEEE Trans. Vis. Comput. Graph. 21(11): 1251-1258 (2015) - [c103]Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn:
Consensus Message Passing for Layered Graphical Models. AISTATS 2015 - [c102]Toby Sharp, Cem Keskin, Duncan P. Robertson, Jonathan Taylor, Jamie Shotton, David Kim, Christoph Rhemann, Ido Leichter, Alon Vinnikov, Yichen Wei, Daniel Freedman, Pushmeet Kohli, Eyal Krupka, Andrew W. Fitzgibbon, Shahram Izadi:
Accurate, Robust, and Flexible Real-time Hand Tracking. CHI 2015: 3633-3642 - [c101]Mohammad Rastegari, Cem Keskin, Pushmeet Kohli, Shahram Izadi:
Computationally bounded retrieval. CVPR 2015: 1501-1509 - [c100]Yan Xia, Kaiming He, Pushmeet Kohli, Jian Sun:
Sparse projections for high-dimensional binary codes. CVPR 2015: 3332-3339 - [c99]Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka:
Picture: A probabilistic programming language for scene perception. CVPR 2015: 4390-4399 - [c98]Andrew V. Goldberg, Sagi Hed, Haim Kaplan, Pushmeet Kohli, Robert Endre Tarjan, Renato F. Werneck:
Faster and More Dynamic Maximum Flow by Incremental Breadth-First Search. ESA 2015: 619-630 - [c97]Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause:
Learning to Hire Teams. HCOMP 2015: 34-35 - [c96]Danhang Tang, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton:
Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose. ICCV 2015: 3325-3333 - [c95]Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause:
Information Gathering in Networks via Active Exploration. IJCAI 2015: 891-988 - [c94]Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli:
Efficient Non-greedy Optimization of Decision Trees. NIPS 2015: 1729-1737 - [c93]Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum:
Deep Convolutional Inverse Graphics Network. NIPS 2015: 2539-2547 - [c92]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks 2015: 75:1 - [c91]Adrian Kim, Kyomin Jung, Yongsub Lim, Daniel Tarlow, Pushmeet Kohli:
Minimizing Expected Losses in Perturbation Models with Multidimensional Parametric Min-cuts. UAI 2015: 435-443 - [c90]Samunda Perera, Nick Barnes, Xuming He, Shahram Izadi, Pushmeet Kohli, Ben Glocker:
Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces. WACV 2015: 1046-1053 - [c89]Edwin Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings:
Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. WWW 2015: 992-1002 - [i19]Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli, Joshua B. Tenenbaum:
Deep Convolutional Inverse Graphics Network. CoRR abs/1503.03167 (2015) - [i18]Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen W. White, Andreas Krause:
Information Gathering in Networks via Active Exploration. CoRR abs/1504.06423 (2015) - [i17]Michael Figurnov, Dmitry P. Vetrov, Pushmeet Kohli:
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions. CoRR abs/1504.08362 (2015) - [i16]Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli:
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits. CoRR abs/1506.06155 (2015) - [i15]Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause:
Learning to Hire Teams. CoRR abs/1508.02823 (2015) - [i14]Matteo Venanzi, John Guiver, Pushmeet Kohli, Nick R. Jennings:
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. CoRR abs/1510.06335 (2015) - [i13]Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli:
Efficient non-greedy optimization of decision trees. CoRR abs/1511.04056 (2015) - 2014
- [j22]Christian Kurz, Xiaokun Wu, Michael Wand, Thorsten Thormählen, Pushmeet Kohli, Hans-Peter Seidel:
Symmetry-Aware Template Deformation and Fitting. Comput. Graph. Forum 33(6): 205-219 (2014) - [j21]Xiaokun Wu, Michael Wand, Klaus Hildebrandt, Pushmeet Kohli, Hans-Peter Seidel:
Real-Time Symmetry-Preserving Deformation. Comput. Graph. Forum 33(7): 229-238 (2014) - [j20]Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell, Thore Graepel:
Manifestations of user personality in website choice and behaviour on online social networks. Mach. Learn. 95(3): 357-380 (2014) - [j19]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Associative Hierarchical Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1056-1077 (2014) - [j18]Min Sun, Byung-soo Kim, Pushmeet Kohli, Silvio Savarese:
Relating Things and Stuff via ObjectProperty Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1370-1383 (2014) - [j17]Sungwoong Kim, Chang Dong Yoo, Sebastian Nowozin, Pushmeet Kohli:
Image Segmentation UsingHigher-Order Correlation Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1761-1774 (2014) - [j16]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Efficient Energy Minimization for Enforcing Label Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1893-1899 (2014) - [j15]Sean Ryan Fanello, Cem Keskin, Shahram Izadi, Pushmeet Kohli, David Kim, David Sweeney, Antonio Criminisi, Jamie Shotton, Sing Bing Kang, Tim Paek:
Learning to be a depth camera for close-range human capture and interaction. ACM Trans. Graph. 33(4): 86:1-86:11 (2014) - [c88]Vahid Kazemi, Cem Keskin, Jonathan Taylor, Pushmeet Kohli, Shahram Izadi:
Real-Time Face Reconstruction from a Single Depth Image. 3DV 2014: 369-376 - [c87]Abner Guzmán-Rivera, Pushmeet Kohli, Dhruv Batra, Rob A. Rutenbar:
Efficiently Enforcing Diversity in Multi-Output Structured Prediction. AISTATS 2014: 284-292 - [c86]Abigail See, Yoram Bachrach, Pushmeet Kohli:
The cost of principles: analyzing power in compatibility weighted voting games. AAMAS 2014: 37-44 - [c85]Yoram Bachrach, Thore Graepel, Pushmeet Kohli, Michal Kosinski, David Stillwell:
Your digital image: factors behind demographic and psychometric predictions from social network profiles. AAMAS 2014: 1649-1650 - [c84]Abner Guzmán-Rivera, Pushmeet Kohli, Ben Glocker, Jamie Shotton, Toby Sharp, Andrew W. Fitzgibbon, Shahram Izadi:
Multi-output Learning for Camera Relocalization. CVPR 2014: 1114-1121 - [c83]Sean Ryan Fanello, Cem Keskin, Pushmeet Kohli, Shahram Izadi, Jamie Shotton, Antonio Criminisi, Ugo Pattacini, Tim Paek:
Filter Forests for Learning Data-Dependent Convolutional Kernels. CVPR 2014: 1709-1716 - [c82]Angela Yao, Luc Van Gool, Pushmeet Kohli:
Gesture Recognition Portfolios for Personalization. CVPR 2014: 1923-1930 - [c81]Pablo Márquez-Neila, Pushmeet Kohli, Carsten Rother, Luis Baumela:
Non-parametric Higher-Order Random Fields for Image Segmentation. ECCV (6) 2014: 269-284 - [c80]Nathan Silberman, Lior Shapira, Ran Gal, Pushmeet Kohli:
A Contour Completion Model for Augmenting Surface Reconstructions. ECCV (3) 2014: 488-503 - [c79]Anton Osokin, Pushmeet Kohli:
Perceptually Inspired Layout-Aware Losses for Image Segmentation. ECCV (2) 2014: 663-678 - [c78]Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli:
Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions. EMMCVPR 2014: 406-420 - [c77]Ran Gal, Lior Shapira, Eyal Ofek, Pushmeet Kohli:
FLARE: Fast layout for augmented reality applications. ISMAR 2014: 207-212 - [c76]Benjamin Rosman, Subramanian Ramamoorthy, M. M. Hassan Mahmud, Pushmeet Kohli:
On user behaviour adaptation under interface change. IUI 2014: 273-278 - [c75]S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn:
Just-In-Time Learning for Fast and Flexible Inference. NIPS 2014: 154-162 - [c74]Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet:
A large-scale exploration of group viewing patterns. TVX 2014: 31-38 - [c73]Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, Milad Shokouhi:
Community-based bayesian aggregation models for crowdsourcing. WWW 2014: 155-164 - [p3]Pushmeet Kohli:
Efficient Submodular Function Minimization for Computer Vision. Tractability 2014: 285-303 - [e1]Lucas Bordeaux, Youssef Hamadi, Pushmeet Kohli:
Tractability: Practical Approaches to Hard Problems. Cambridge University Press 2014, ISBN 9781139177801 [contents] - [r1]Jamie Shotton, Pushmeet Kohli:
Semantic Image Segmentation. Computer Vision, A Reference Guide 2014: 713-716 - [i12]Roman Shapovalov, Dmitry P. Vetrov, Anton Osokin, Pushmeet Kohli:
Multi-utility Learning: Structured-output Learning with Multiple Annotation-specific Loss Functions. CoRR abs/1406.5910 (2014) - [i11]Tejas D. Kulkarni, Vikash K. Mansinghka, Pushmeet Kohli, Joshua B. Tenenbaum:
Inverse Graphics with Probabilistic CAD Models. CoRR abs/1407.1339 (2014) - [i10]Varun Jampani, S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli, John M. Winn:
Consensus Message Passing for Layered Graphical Models. CoRR abs/1410.7452 (2014) - [i9]Maxwell D. Collins, Pushmeet Kohli:
Memory Bounded Deep Convolutional Networks. CoRR abs/1412.1442 (2014) - 2013
- [j14]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Inference Methods for CRFs with Co-occurrence Statistics. Int. J. Comput. Vis. 103(2): 213-225 (2013) - [j13]Jamie Shotton, Ross B. Girshick, Andrew W. Fitzgibbon, Toby Sharp, Mat Cook, Mark Finocchio, Richard Moore, Pushmeet Kohli, Antonio Criminisi, Alex Kipman, Andrew Blake:
Efficient Human Pose Estimation from Single Depth Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2821-2840 (2013) - [j12]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo:
Task-Specific Image Partitioning. IEEE Trans. Image Process. 22(2): 488-500 (2013) - [c72]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam:
Optimal Coalition Structure Generation in Cooperative Graph Games. AAAI 2013: 81-87 - [c71]Pushmeet Kohli, Mahyar Salek, Greg Stoddard:
A Fast Bandit Algorithm for Recommendation to Users With Heterogenous Tastes. AAAI 2013: 1135-1141 - [c70]Abner Guzmán-Rivera, Pushmeet Kohli, Dhruv Batra:
DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes. AISTATS 2013: 316-324 - [c69]Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi:
GeoF: Geodesic Forests for Learning Coupled Predictors. CVPR 2013: 65-72 - [c68]Pushmeet Kohli, Anton Osokin, Stefanie Jegelka:
A Principled Deep Random Field Model for Image Segmentation. CVPR 2013: 1971-1978 - [c67]Giuseppe Ottaviano, Pushmeet Kohli:
Compressible Motion Fields. CVPR 2013: 2251-2258 - [c66]Roman Shapovalov, Dmitry P. Vetrov, Pushmeet Kohli:
Spatial Inference Machines. CVPR 2013: 2985-2992 - [c65]Byung-soo Kim, Pushmeet Kohli, Silvio Savarese:
3D Scene Understanding by Voxel-CRF. ICCV 2013: 1425-1432 - [c64]Sergey Milyaev, Olga Barinova, Tatiana Novikova, Pushmeet Kohli, Victor S. Lempitsky:
Image Binarization for End-to-End Text Understanding in Natural Images. ICDAR 2013: 128-132 - [c63]Osama Khalil, Mohammed E. Fathy, Dina Khalil El Kholy, Motaz Ahmad El-Saban, Pushmeet Kohli, Jamie Shotton, Yasmine Badr:
Synthetic training in object detection. ICIP 2013: 3113-3117 - [c62]Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John M. Winn, Antonio Criminisi:
Decision Jungles: Compact and Rich Models for Classification. NIPS 2013: 234-242 - [p2]Pushmeet Kohli, Jamie Shotton:
Key Developments in Human Pose Estimation for Kinect. Consumer Depth Cameras for Computer Vision 2013: 63-70 - [i8]Sergey Kosov, Pushmeet Kohli, Franz Rottensteiner, Christian Heipke:
A two-layer Conditional Random Field for the classification of partially occluded objects. CoRR abs/1307.3043 (2013) - [i7]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Multi-dimensional Parametric Mincuts for Constrained MAP Inference. CoRR abs/1307.7793 (2013) - [i6]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Efficient Energy Minimization for Enforcing Statistics. CoRR abs/1307.7800 (2013) - [i5]Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah:
Partition-Merge: Distributed Inference and Modularity Optimization. CoRR abs/1309.6129 (2013) - 2012
- [j11]Michael W. Tao, Jiamin Bai, Pushmeet Kohli, Sylvain Paris:
SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm. Comput. Graph. Forum 31(2pt1): 345-353 (2012) - [j10]Elena Tretyak, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky:
Geometric Image Parsing in Man-Made Environments. Int. J. Comput. Vis. 97(3): 305-321 (2012) - [j9]Pushmeet Kohli, Hannes Nickisch, Carsten Rother, Christoph Rhemann:
User-Centric Learning and Evaluation of Interactive Segmentation Systems. Int. J. Comput. Vis. 100(3): 261-274 (2012) - [j8]Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli:
On Detection of Multiple Object Instances Using Hough Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1773-1784 (2012) - [c61]Pushmeet Kohli:
MAP inference in Discrete Models. BMVC 2012: 1 - [c60]Simon Fothergill, Helena M. Mentis, Pushmeet Kohli, Sebastian Nowozin:
Instructing people for training gestural interactive systems. CHI 2012: 1737-1746 - [c59]Min Sun, Pushmeet Kohli, Jamie Shotton:
Conditional regression forests for human pose estimation. CVPR 2012: 3394-3401 - [c58]Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother:
Curvature Prior for MRF-Based Segmentation and Shape Inpainting. DAGM/OAGM Symposium 2012: 41-51 - [c57]Stefan Holzer, Jamie Shotton, Pushmeet Kohli:
Learning to Efficiently Detect Repeatable Interest Points in Depth Data. ECCV (1) 2012: 200-213 - [c56]Byung-soo Kim, Min Sun, Pushmeet Kohli, Silvio Savarese:
Relating Things and Stuff by High-Order Potential Modeling. ECCV Workshops (3) 2012: 293-304 - [c55]Nima Razavi, Juergen Gall, Pushmeet Kohli, Luc Van Gool:
Latent Hough Transform for Object Detection. ECCV (3) 2012: 312-325 - [c54]Christopher Zach, Pushmeet Kohli:
A Convex Discrete-Continuous Approach for Markov Random Fields. ECCV (6) 2012: 386-399 - [c53]Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus:
Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) 2012: 746-760 - [c52]Tatiana Novikova, Olga Barinova, Pushmeet Kohli, Victor S. Lempitsky:
Large-Lexicon Attribute-Consistent Text Recognition in Natural Images. ECCV (6) 2012: 752-765 - [c51]Jérôme Plumat, Benoît Macq, Pushmeet Kohli:
Higher-order density consistency potentials for Discrete Tomography. ICIP 2012: 2065-2068 - [c50]Peter Kontschieder, Samuel Rota Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof:
Context-Sensitive Decision Forests for Object Detection. NIPS 2012: 440-448 - [c49]Abner Guzmán-Rivera, Dhruv Batra, Pushmeet Kohli:
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs. NIPS 2012: 1808-1816 - [c48]Yoram Bachrach, Michal Kosinski, Thore Graepel, Pushmeet Kohli, David Stillwell:
Personality and patterns of Facebook usage. WebSci 2012: 24-32 - [c47]Pushmeet Kohli, Michael J. Kearns, Yoram Bachrach, Ralf Herbrich, David Stillwell, Thore Graepel:
Colonel Blotto on Facebook: the effect of social relations on strategic interaction. WebSci 2012: 141-150 - [c46]Patrick Pletscher, Pushmeet Kohli:
Learning Low-order Models for Enforcing High-order Statistics. AISTATS 2012: 886-894 - [i4]Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr:
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. CoRR abs/1203.3512 (2012) - 2011
- [c45]Yoram Bachrach, Pushmeet Kohli, Thore Graepel:
Rip-off: playing the cooperative negotiation game. AAMAS 2011: 1179-1180 - [c44]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov:
Team coverage games. AAMAS 2011: 1197-1198 - [c43]Alex Mansfield, Mukta Prasad, Carsten Rother, Toby Sharp, Pushmeet Kohli, Luc Van Gool:
Transforming Image Completion. BMVC 2011: 1-11 - [c42]Dhruv Batra, Pushmeet Kohli:
Making the right moves: Guiding alpha-expansion using local primal-dual gaps. CVPR 2011: 1865-1872 - [c41]Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo:
Variable grouping for energy minimization. CVPR 2011: 1913-1920 - [c40]Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha:
Object stereo - Joint stereo matching and object segmentation. CVPR 2011: 3081-3088 - [c39]Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, Carsten Rother:
Putting MAP Back on the Map. DAGM-Symposium 2011: 111-121 - [c38]Ross B. Girshick, Jamie Shotton, Pushmeet Kohli, Antonio Criminisi, Andrew W. Fitzgibbon:
Efficient regression of general-activity human poses from depth images. ICCV 2011: 415-422 - [c37]Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli:
Decision tree fields. ICCV 2011: 1668-1675 - [c36]Daniel Tarlow, Dhruv Batra, Pushmeet Kohli, Vladimir Kolmogorov:
Dynamic Tree Block Coordinate Ascent. ICML 2011: 113-120 - [c35]Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Andrew W. Fitzgibbon:
KinectFusion: Real-time dense surface mapping and tracking. ISMAR 2011: 127-136 - [c34]Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang Dong Yoo:
Higher-Order Correlation Clustering for Image Segmentation. NIPS 2011: 1530-1538 - [c33]Shahram Izadi, Richard A. Newcombe, David Kim, Otmar Hilliges, David Molyneaux, Steve Hodges, Pushmeet Kohli, Jamie Shotton, Andrew J. Davison, Andrew W. Fitzgibbon:
KinectFusion: real-time dynamic 3D surface reconstruction and interaction. SIGGRAPH Talks 2011: 23 - [c32]Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard A. Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew J. Davison, Andrew W. Fitzgibbon:
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. UIST 2011: 559-568 - [c31]Dhruv Batra, Sebastian Nowozin, Pushmeet Kohli:
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm. AISTATS 2011: 146-154 - [i3]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam:
Optimal Coalition Structures in Graph Games. CoRR abs/1108.5248 (2011) - [i2]Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother:
Curvature Prior for MRF-based Segmentation and Shape Inpainting. CoRR abs/1109.1480 (2011) - 2010
- [j7]Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr:
Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1846-1857 (2010) - [c30]Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli:
Coalitional Structure Generation in Skill Games. AAAI 2010: 703-708 - [c29]Michael Bleyer, Carsten Rother, Pushmeet Kohli:
Surface stereo with soft segmentation. CVPR 2010: 1570-1577 - [c28]Pushmeet Kohli, M. Pawan Kumar:
Energy minimization for linear envelope MRFs. CVPR 2010: 1863-1870 - [c27]Christoph Rhemann, Carsten Rother, Pushmeet Kohli, Margrit Gelautz:
A spatially varying PSF-based prior for alpha matting. CVPR 2010: 2149-2156 - [c26]Olga Barinova, Victor S. Lempitsky, Pushmeet Kohli:
On detection of multiple object instances using hough transforms. CVPR 2010: 2233-2240 - [c25]Pushmeet Kohli, Victor S. Lempitsky, Carsten Rother:
Uncertainty Driven Multi-scale Optimization. DAGM-Symposium 2010: 242-251 - [c24]Olga Barinova, Victor S. Lempitsky, Elena Tretiak, Pushmeet Kohli:
Geometric Image Parsing in Man-Made Environments. ECCV (2) 2010: 57-70 - [c23]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) 2010: 239-253 - [c22]Ben Glocker, Tim Hauke Heibel, Nassir Navab, Pushmeet Kohli, Carsten Rother:
TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods. ECCV (3) 2010: 272-285 - [c21]Yongsub Lim, Kyomin Jung, Pushmeet Kohli:
Energy Minimization under Constraints on Label Counts. ECCV (2) 2010: 535-551 - [c20]Hannes Nickisch, Carsten Rother, Pushmeet Kohli, Christoph Rhemann:
Learning an interactive segmentation system. ICVGIP 2010: 274-281 - [c19]Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr:
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI 2010: 501-508 - [p1]Pushmeet Kohli, Philip H. S. Torr:
Dynamic Graph Cuts and Their Applications in Computer Vision. Computer Vision: Detection, Recognition and Reconstruction 2010: 51-108
2000 – 2009
- 2009
- [j6]Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr:
Robust Higher Order Potentials for Enforcing Label Consistency. Int. J. Comput. Vis. 82(3): 302-324 (2009) - [j5]Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr:
P³ & Beyond: Move Making Algorithms for Solving Higher Order Functions. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1645-1656 (2009) - [c18]Carsten Rother, Pushmeet Kohli, Wei Feng, Jiaya Jia:
Minimizing sparse higher order energy functions of discrete variables. CVPR 2009: 1382-1389 - [c17]Christoph Rhemann, Carsten Rother, Jue Wang, Margrit Gelautz, Pushmeet Kohli, Pamela Rott:
A perceptually motivated online benchmark for image matting. CVPR 2009: 1826-1833 - [c16]Victor S. Lempitsky, Pushmeet Kohli, Carsten Rother, Toby Sharp:
Image segmentation with a bounding box prior. ICCV 2009: 277-284 - [c15]Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr:
Associative hierarchical CRFs for object class image segmentation. ICCV 2009: 739-746 - [c14]Kyomin Jung, Pushmeet Kohli, Devavrat Shah:
Local Rules for Global MAP: When Do They Work ? NIPS 2009: 871-879 - [i1]Hannes Nickisch, Pushmeet Kohli, Carsten Rother:
Learning an Interactive Segmentation System. CoRR abs/0912.2492 (2009) - 2008
- [j4]Pushmeet Kohli, Philip H. S. Torr:
Measuring uncertainty in graph cut solutions. Comput. Vis. Image Underst. 112(1): 30-38 (2008) - [j3]Pushmeet Kohli, Jonathan Rihan, Matthieu Bray, Philip H. S. Torr:
Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts. Int. J. Comput. Vis. 79(3): 285-298 (2008) - [j2]Alex Rav-Acha, Pushmeet Kohli, Carsten Rother, Andrew W. Fitzgibbon:
Unwrap mosaics: a new representation for video editing. ACM Trans. Graph. 27(3): 17 (2008) - [c13]Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr:
Reduce, reuse & recycle: Efficiently solving multi-label MRFs. CVPR 2008 - [c12]Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr:
Robust higher order potentials for enforcing label consistency. CVPR 2008 - [c11]Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr:
Exact inference in multi-label CRFs with higher order cliques. CVPR 2008 - [c10]Martin Szummer, Pushmeet Kohli, Derek Hoiem:
Learning CRFs Using Graph Cuts. ECCV (2) 2008: 582-595 - [c9]Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov, Philip H. S. Torr:
On partial optimality in multi-label MRFs. ICML 2008: 480-487 - 2007
- [b1]Pushmeet Kohli:
Minimizing dynamic and higher order energy functions using graph cuts. Oxford Brookes University, UK, 2007 - [j1]Pushmeet Kohli, Philip H. S. Torr:
Dynamic Graph Cuts for Efficient Inference in Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2079-2088 (2007) - [c8]Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr:
P3 & Beyond: Solving Energies with Higher Order Cliques. CVPR 2007 - 2006
- [c7]Pushmeet Kohli, Philip H. S. Torr:
Measuring Uncertainty in Graph Cut Solutions - Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts. ECCV (2) 2006: 30-43 - [c6]Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr:
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts. ECCV (2) 2006: 642-655 - [c5]Jonathan Rihan, Pushmeet Kohli, Philip H. S. Torr:
OBJCUT for Face Detection. ICVGIP 2006: 576-584 - [c4]Yunda Sun, Pushmeet Kohli, Matthieu Bray, Philip H. S. Torr:
Using Strong Shape Priors for Stereo. ICVGIP 2006: 882-893 - 2005
- [c3]Pushmeet Kohli, Philip H. S. Torr:
Effciently Solving Dynamic Markov Random Fields Using Graph Cuts. ICCV 2005: 922-929 - 2003
- [c2]Pushmeet Kohli:
A Classifier System Based on Evolved Finite State Machines. IICAI 2003: 529-542 - [c1]Pushmeet Kohli:
A New Genetic Algorithm Based Scheme for Inferring Finite State Machines From Accept/Reject Data Samples. IICAI 2003: 632-645
Coauthor Index
Krishnamurthy Dvijotham
aka: Krishnamurthy (Dj) Dvijotham
aka: Krishnamurthy (Dj) Dvijotham
Timothy A. Mann
aka: Timothy Arthur Mann
aka: Timothy Arthur Mann
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
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