Sarkar, Soumik

29 publications

TMLR 2025 Balancing Utility and Privacy: Dynamically Private SGD with Random Projection Zhanhong Jiang, Md Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar

DMLR 2025 FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Mehdi Shadkhah, Samundra Karki, Abhisek Upadhyaya, Suriya Dhakshinamoorthy, Marjan Saadati, Soumik Sarkar, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian

ICLR 2025 Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

WACV 2025 Leveraging Vision Language Models for Specialized Agricultural Tasks Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K. Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

CVPRW 2025 SC-NeRF: NeRF-Based Point Cloud Reconstruction Using a Stationary Camera for Agricultural Applications Kibon Ku, Talukder Z. Jubery, Elijah Rodriguez, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

L4DC 2025 Zero-Shot Sim-to-Real Transfer for Reinforcement Learning-Based Visual Servoing of Soft Continuum Arms Hsin-Jung Yang, Mahsa Khosravi, Benjamin Walt, Girish Krishnan, Soumik Sarkar

NeurIPSW 2024 A Unified Convergence Theory for Large Language Model Efficient Fine-Tuning Zhanhong Jiang, Nastaran Saadati, Aditya Balu, Minh Pham, Joshua Russell Waite, Nasla Saleem, Chinmay Hegde, Soumik Sarkar

NeurIPSW 2024 Assisted Few-Shot Learning for Vision-Language Models in Agricultural Stress Phenotype Identification Muhammad Arbab Arshad, Talukder Zaki Jubery, Asheesh K Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

TMLR 2024 Asynchronous Training Schemes in Distributed Learning with Time Delay Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

NeurIPS 2024 BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity Chih-Hsuan Yang, Ben Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md Zahid Hasan, Shivani Chiranjeevi, Kelly Marshall, Nirmal Baishnab, Asheesh K Singh, Arti Singh, Soumik Sarkar, Nirav Merchant, Chinmay Hegde, Baskar Ganapathysubramanian

CVPR 2024 DIMAT: Decentralized Iterative Merging-and-Training for Deep Learning Models Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanong Jiang, Chinmay Hegde, Soumik Sarkar

CVPRW 2024 SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

NeurIPSW 2023 A Predicting Clipping Asynchronous Stochastic Gradient Descent Method in Distributed Learning Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

NeurIPSW 2022 A Study of Natural Robustness of Deep Reinforcement Learning Algorithms Towards Adversarial Perturbations Qisai Liu, Xian Yeow Lee, Soumik Sarkar

CVPRW 2022 Concept Activation Vectors for Generating User-Defined 3D Shapes Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar

NeurIPSW 2022 Generative Design of Material Microstructures for Organic Solar Cells Using Diffusion Models Ethan Herron, Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

AAAI 2022 MDPGT: Momentum-Based Decentralized Policy Gradient Tracking Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

NeurIPSW 2021 A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems Xian Yeow Lee, Soumik Sarkar, Yubo Wang

ICML 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

NeurIPS 2021 Differentiable Spline Approximations Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

NeurIPSW 2021 Distributed Deep Learning for Persistent Monitoring of Agricultural Fields Yasaman Esfandiari, Koushik Nagasubramanian, Fateme Fotouhi, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar

NeurIPSW 2020 Differentiable Programming for Piecewise Polynomial Functions Minsu Cho, Ameya Joshi, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde

AAAI 2020 InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

AAAI 2020 Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar

CVPRW 2019 Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde

CVPRW 2019 Multi-Level 3D CNN for Learning Multi-Scale Spatial Features Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

NeurIPS 2018 Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron Havens, Zhanhong Jiang, Soumik Sarkar

ECCVW 2018 PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

NeurIPS 2017 Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar