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ORCIDAswin Raghavan
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- affiliation: Oregon State University, Corvallis, OR, USA
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2020 – today
- 2024
[c14]Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino:
Tools Identification By On-Board Adaptation of Vision-and-Language Models. AAAI 2024: 23799-23801- [i18]Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang:
Data-Driven Pixel Control: Challenges and Prospects. CoRR abs/2408.04767 (2024) - 2023
- [j2]Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [i17]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i16]Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang:
Efficient Model Adaptation for Continual Learning at the Edge. CoRR abs/2308.02084 (2023) - [i15]Peihong Yu, Bhoram Lee, Aswin Raghavan, Supun Samarasekera, Pratap Tokekar, James Zachary Hare:
Enhancing Multi-Agent Coordination through Common Operating Picture Integration. CoRR abs/2311.04740 (2023) - [i14]Saurabh Farkya, Aswin Raghavan, Avi Ziskind:
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training. CoRR abs/2312.00105 (2023) - 2022
- [c13]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c12]Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c11]Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino:
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CVPR Workshops 2022: 3609-3617 - [i13]Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino:
Saccade Mechanisms for Image Classification, Object Detection and Tracking. CoRR abs/2206.05102 (2022) - [i12]Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino:
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CoRR abs/2206.05128 (2022) - [i11]Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR abs/2208.05056 (2022) - [i10]David C. Zhang, Gooitzen van der Wal, Saurabh Farkya, Thomas Senko, Aswin Raghavan, Michael A. Isnardi, Michael R. Piacentino:
Low-power In-pixel Computing with Current-modulated Switched Capacitors. CoRR abs/2210.07826 (2022) - [i9]Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022) - 2020
- [i8]Aswin Raghavan, Jesse Hostetler, Indranil Sur, Abrar Rahman, Ajay Divakaran:
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. CoRR abs/2007.06918 (2020)
2010 – 2019
- 2019
- [j1]Timothy J. Meo, Chris Kim, Aswin Raghavan, Alex Tozzo, David A. Salter, Amir Tamrakar, Mohamed R. Amer:
Aesop: A visual storytelling platform for conversational AI and common sense grounding. AI Commun. 32(1): 59-76 (2019) - [c10]Zecheng He, Aswin Raghavan, Guangyuan Hu, Sek M. Chai, Ruby B. Lee:
Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning. TrustCom/BigDataSE 2019: 160-167 - [i7]Aswin Raghavan, Jesse Hostetler, Sek M. Chai:
Generative Memory for Lifelong Reinforcement Learning. CoRR abs/1902.08349 (2019) - 2018
- [c9]C. D. Tharindu Mathew, Aswin Raghavan, Sek Chai:
Event Prediction in Processors Using Deep Temporal Models. EMC2@ASPLOS 2018: 29-33 - [c8]Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern:
Emergency Response Optimization using Online Hybrid Planning. IJCAI 2018: 4722-4728 - [c7]Tim Meo, Aswin Raghavan, David A. Salter, Alex Tozzo, Amir Tamrakar, Mohamed R. Amer:
Aesop: A Visual Storytelling Platform for Conversational AI. IJCAI 2018: 5844-5846 - [i6]Zecheng He, Aswin Raghavan, Sek M. Chai, Ruby B. Lee:
Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning. CoRR abs/1806.06496 (2018) - [i5]Samyak Parajuli, Aswin Raghavan, Sek M. Chai:
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks. CoRR abs/1811.04985 (2018) - 2017
- [c6]Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern:
Hindsight Optimization for Hybrid State and Action MDPs. AAAI 2017: 3790-3796 - [i4]Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields:
Low Precision Neural Networks using Subband Decomposition. CoRR abs/1703.08595 (2017) - [i3]Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai:
GPU Activity Prediction using Representation Learning. CoRR abs/1703.09146 (2017) - [i2]Aswin Raghavan, Mohamed R. Amer, Sek M. Chai:
BitNet: Bit-Regularized Deep Neural Networks. CoRR abs/1708.04788 (2017) - 2015
- [c5]Aswin Raghavan, Roni Khardon, Prasad Tadepalli, Alan Fern:
Memory-Effcient Symbolic Online Planning for Factored MDPs. UAI 2015: 732-741 - 2013
- [c4]Saket Joshi, Roni Khardon, Prasad Tadepalli, Alan Fern, Aswin Raghavan:
Relational Markov Decision Processes: Promise and Prospects. StarAI@AAAI 2013 - [c3]Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli:
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. NIPS 2013: 2499-2507 - [c2]Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern:
Solving Relational MDPs with Exogenous Events and Additive Rewards. ECML/PKDD (1) 2013: 178-193 - [i1]Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, Alan Fern:
Solving Relational MDPs with Exogenous Events and Additive Rewards. CoRR abs/1306.6302 (2013) - 2012
- [c1]Aswin Raghavan, Saket Joshi, Alan Fern, Prasad Tadepalli, Roni Khardon:
Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI 2012: 1802-1808
Coauthor Index
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