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2020 – today
- 2024
[j15]Eun Som Jeon
, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga:
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130: 107719 (2024)- [j14]Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga:
Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. 6 (2024) - [c20]Baaz Jhaj, Ankita Shukla, Pavan K. Turaga, Michael N. Kozicki:
On the impact of pre-training datasets for matching dendritic identifiers using residual nets. AI-SIPM 2024: 2 - [i16]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga:
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR abs/2407.05315 (2024) - 2023
- [j13]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga:
Leveraging angular distributions for improved knowledge distillation. Neurocomputing 518: 466-481 (2023) - [j12]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c19]Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga:
Scene Graph Driven Text-Prompt Generation for Image Inpainting. CVPR Workshops 2023: 759-768 - [c18]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Polynomial Implicit Neural Representations For Large Diverse Datasets. CVPR 2023: 2041-2051 - [c17]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. CVPR Workshops 2023: 4159-4168 - [c16]Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga:
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV 2023: 2318-2327 - [i15]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga:
Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR abs/2302.14130 (2023) - [i14]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Polynomial Implicit Neural Representations For Large Diverse Datasets. CoRR abs/2303.11424 (2023) - 2022
- [j11]Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. 9(14): 12848-12860 (2022) - [j10]Voncarlos M. Araújo, Ankita Shukla, Clément Chion, Sébastien Gambs, Robert Michaud:
Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures. Sensors 22(11): 4107 (2022) - [c15]Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga:
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF 2022: 837-842 - [i13]Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR abs/2201.00111 (2022) - [i12]Rajhans Singh, Ankita Shukla, Pavan K. Turaga:
Deep Geometric Moment. CoRR abs/2205.11722 (2022) - [i11]Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga:
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR abs/2211.03946 (2022) - 2021
- [j9]Mani Mehra, Ankita Shukla, Günter Leugering:
An adaptive spectral graph wavelet method for PDEs on networks. Adv. Comput. Math. 47(1): 12 (2021) - [j8]Ankita Shukla, Tiratha Raj Singh:
Structure based inference of functional single nucleotide polymorphism and its role in TGFβ1 allied colorectal cancer (CRC). Int. J. Bioinform. Res. Appl. 17(1): 80-99 (2021) - [i10]Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga:
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR abs/2102.08360 (2021) - [i9]Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga:
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR abs/2111.12798 (2021) - 2020
- [j7]Ankita Shukla, Vishal Krishna Singh, Mala Kalra:
Multimodal Device Clustering Using Mobile Agent for Correlation in Sensor-Based IoT. Ad Hoc Sens. Wirel. Networks 48(1-2): 121-144 (2020) - [j6]Ankita Shukla, Mani Mehra:
Nonhomogeneous backward heat conduction problem: Compact filter regularization and error estimates. J. Appl. Math. Comput. 62(1-2): 547-564 (2020) - [c14]Ankita Shukla, Gullal Singh Cheema, Saket Anand:
Semi-Supervised Clustering with Neural Networks. BigMM 2020: 152-161 - [i8]Ankita Shukla, Pavan K. Turaga, Saket Anand:
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR abs/2005.02936 (2020)
2010 – 2019
- 2019
- [j5]Nimisha Asati, Abhinav Mishra, Ankita Shukla, Tiratha Raj Singh:
Gene Expression Studies to Identify Significant Genes in AR, MTOR, MAPK Pathways and their Overlapping Regulatory Role in Prostate Cancer. J. Integr. Bioinform. 16(3) (2019) - [c13]Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC 2019: 88 - [c12]Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell:
A Hybrid Approach to Tiger Re-Identification. ICCV Workshops 2019: 294-301 - [c11]Ankita Shukla, Mani Mehra:
A Compact Filter Regularization Method for Solving Sideways Heat Equation. NUMTA (2) 2019: 470-477 - [c10]Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Primate Face Identification in the Wild. PRICAI (3) 2019: 387-401 - [r1]Tiratha Raj Singh, Ankita Shukla, Taoufik Bensellak, Ahmed Moussa, Brigitte Vannier:
Disease Biomarker Discovery. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 476-488 - [i7]Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. CoRR abs/1902.06964 (2019) - [i6]Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Primate Face Identification in the Wild. CoRR abs/1907.02642 (2019) - [i5]Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga:
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR abs/1907.09554 (2019) - 2018
- [j4]Ankita Shukla, Tiratha Raj Singh:
Network-based approach to understand dynamic behaviour of Wnt signaling pathway regulatory elements in colorectal cancer. Netw. Model. Anal. Health Informatics Bioinform. 7(1): 14 (2018) - [c9]Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) 2018: 638-659 - [c8]Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga:
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP 2018: 68:1-68:8 - [i4]Ankita Shukla, Gullal Singh Cheema, Saket Anand:
ClusterNet : Semi-Supervised Clustering using Neural Networks. CoRR abs/1806.01547 (2018) - [i3]Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. CoRR abs/1807.10400 (2018) - [i2]Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala:
Unique Identification of Macaques for Population Monitoring and Control. CoRR abs/1811.00743 (2018) - 2017
- [j3]Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar:
Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network. Integr. 58: 295-302 (2017) - [c7]Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan:
Metric learning on biological sequence embeddings. SPAWC 2017: 1-5 - 2016
- [c6]Ankita Shukla, Saket Anand:
Metric learning based automatic segmentation of patterned species. ICIP 2016: 3982-3986 - 2015
- [j2]Ankita Shukla, Angshul Majumdar:
Exploiting inter-channel correlation in EEG signal reconstruction. Biomed. Signal Process. Control. 18: 49-55 (2015) - [j1]Ankita Shukla, Angshul Majumdar:
Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals. Biomed. Signal Process. Control. 18: 174-178 (2015) - [c5]Ankita Shukla, Angshul Majumdar, Rabab K. Ward:
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing. ICAPR 2015: 1-6 - [c4]Angshul Majumdar, Ankita Shukla, Rabab K. Ward:
Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. ICASSP 2015: 837-841 - 2014
- [c3]Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar:
Energy efficient acquisition and reconstruction of EEG signals. EMBC 2014: 1274-1277 - [c2]Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar:
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP 2014: 1302-1306 - [c1]Anupriya Gogna, Ankita Shukla, Angshul Majumdar:
Matrix Recovery Using Split Bregman. ICPR 2014: 1031-1036 - 2013
- [i1]Anupriya Gogna, Ankita Shukla, Angshul Majumdar:
Matrix recovery using Split Bregman. CoRR abs/1312.6872 (2013)
Coauthor Index
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last updated on 2024-08-25 20:10 CEST by the dblp team
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