Soumik Sarkar - RankMe

235 papers A* 10A 2B 1C 27Misc 2Journal 160Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. Comput. Electron. Agric. Mahsa Khosravi, Matthew E. Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar
2026	J	`jnl`	Bidirectional linear recurrent models for sequence-level multisource fusion. Inf. Fusion Qisai Liu, Zhanhong Jiang, Md. Zahid Hasan, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2026	J	`jnl`	Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models. CoRR Souradeep Chattopadhyay, Brendan Kennedy, Sai Munikoti, Soumik Sarkar, Karl Pazdernik
2026	J	`jnl`	LCLA: Language-Conditioned Latent Alignment for Vision-Language Navigation. CoRR Nitesh Subedi, Adam Haroon, Samuel T. K. Tetteh, Prajwal Koirala, Cody H. Fleming, Soumik Sarkar
2026	J	`jnl`	LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy. CoRR Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala, Qisai Liu, Cody H. Fleming, Soumik Sarkar
2026	J	`jnl`	Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction. Frontiers Artif. Intell. Timilehin Ayanlade, Liza Van der Laan, Qisai Liu, Tryambak Gangopadhyay, Johnathon Shook, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Kumar Singh
2025	J	`jnl`	Associating transportation planning-related measures with Mild Cognitive Impairment. CoRR Souradeep Chattopadhyay, Guillermo Basulto-Elias, Jun Ha Chang, Matthew Rizzo, Shauna Hallmark, Anuj Sharma, Soumik Sarkar
2025	—	`conf`	Automated Seizure Detection in Animal EEG Signals. MLCB Shreyan Ganguly, Zhanhong Jiang, Nyzil Massey, Nikhil Sanjay Rao, Thimmasettappa Thippeswamy, Soumik Sarkar
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. CoRR Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. Trans. Mach. Learn. Res. Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. CoRR Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2025	J	`jnl`	Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation? CoRR Nitesh Subedi, Adam Haroon, Shreyan Ganguly, Samuel T. K. Tetteh, Prajwal Koirala, Cody H. Fleming, Soumik Sarkar
2025	J	`jnl`	Crossmodal learning for Crop Canopy Trait Estimation. CoRR Timilehin Ayanlade, Anirudha Powadi, Talukder Z. Jubery, Baskar Ganapathysubramanian, Soumik Sarkar
2025	J	`jnl`	Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification. CoRR Zhanhong Jiang, Dylan Shah, Hsin-Jung Yang, Soumik Sarkar
2025	J	`jnl`	DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models. CoRR Nastaran Saadati, Zhanhong Jiang, Joshua R. Waite, Shreyan Ganguly, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video. CoRR Md. Zahid Hasan, Guillermo Basulto-Elias, Jun Ha Chang, Sahuna Hallmark, Matthew Rizzo, Anuj Sharma, Soumik Sarkar
2025	J	`jnl`	Enhancing PPO with Trajectory-Aware Hybrid Policies. CoRR Qisai Liu, Zhanhong Jiang, Hsin-Jung Yang, Mahsa Khosravi, Joshua R. Waite, Soumik Sarkar
2025	J	`jnl`	FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization. CoRR Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar
2025	—	`conf`	FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization. CAI Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar
2025	—	`conf`	Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. CDC Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2025	J	`jnl`	Find the Fruit: Designing a Zero-Shot Sim2Real Deep RL Planner for Occlusion Aware Plant Manipulation. CoRR Nitesh Subedi, Hsin-Jung Yang, Devesh K. Jha, Soumik Sarkar
2025	J	`jnl`	FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. J. Data-centric Mach. Learn. Res. 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
2025	B	`conf`	Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. IEEE Big Data Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. CoRR Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy. CoRR Shreyan Ganguly, Angona Biswas, Jaydeep Rade, Md Hasibul Hasan Hasib, Nabila Masud, Nitish Singla, Abhipsa Dash, Ushashi Bhattacharjee, Aditya Balu, Anwesha Sarkar, Adarsh Krishnamurthy, Soumik Sarkar
2025	A*	`conf`	Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. ICLR Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2025	A	`conf`	Leveraging Vision Language Models for Specialized Agricultural Tasks. WACV 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
2025	J	`jnl`	NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. CoRR Kibon Ku, Talukder Z. Jubery, Elijah Rodriguez, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree. CoRR Mahsa Khosravi, Zhanhong Jiang, Joshua R. Waite, Sarah E. Jones, Hernan Torres, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar
2025	J	`jnl`	ProFusion: 3D Reconstruction of Protein Complex Structures from Multi-view AFM Images. CoRR Jaydeep Rade, Md Hasibul Hasan Hasib, Meric Ozturk, Baboucarr Faal, Sheng Yang, Dipali G. Sashital, Vincenzo Venditti, Baoyu Chen, Soumik Sarkar, Adarsh Krishnamurthy, Anwesha Sarkar
2025	J	`jnl`	Procedural Generation of 3D Maize Plant Architecture from LIDAR Data. CoRR Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen, Talukder Z. Jubery, Yawei Li, Lakshmi Attigala, Aditya Balu, Soumik Sarkar, Patrick S. Schnable, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	Procedural generation of 3D maize plant architecture from LiDAR data. Comput. Electron. Agric. Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen, Talukder Z. Jubery, Yawei Li, Lakshmi Attigala, Aditya Balu, Soumik Sarkar, Patrick S. Schnable, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	—	`conf`	RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. ICCPS Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. CoRR Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture. CoRR Vishesh Kumar Tanwar, Soumik Sarkar, Asheesh Kumar Singh, Sajal K. Das
2025	J	`jnl`	Reinforcement Learning for Autonomous Point-to-Point UAV Navigation. CoRR Salim Oyinlola, Nitesh Subedi, Soumik Sarkar
2025	—	`conf`	SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. CVPR Workshops Kibon Ku, Talukder Z. Jubery, Elijah Rodriguez, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models. CoRR Shivani Chiranjeevi, Hossein Zaremehrjerdi, Zi K. Deng, Talukder Z. Jubery, Ari Grele, Arti Singh, Asheesh Kumar Singh, Soumik Sarkar, Nirav C. Merchant, Harold F. Greeney, Baskar Ganapathysubramanian, Chinmay Hegde
2025	J	`jnl`	Towards Large Reasoning Models for Agriculture. CoRR Hossein Zaremehrjerdi, Shreyan Ganguly, Ashlyn Rairdin, Elizabeth Tranel, Benjamin Feuer, Juan Ignacio Di Salvo, Srikanth Panthulugiri, Hernan Torres Pacin, Victoria Moser, Sarah Jones, Joscif Raigne, Yanben Shen, Heidi M. Dornath, Aditya Balu, Adarsh Krishnamurthy, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification. CoRR Yanben Shen, Timilehin Ayanlade, Venkata Naresh Boddepalli, Mojdeh Saadati, Ashlyn Rairdin, Zi K. Deng, Muhammad Arbab Arshad, Aditya Balu, Daren S. Mueller, Asheesh K. Singh, Wesley Everman, Nirav C. Merchant, Baskar Ganapathysubramanian, Meaghan Anderson, Soumik Sarkar, Arti Singh
2025	—	`conf`	Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms. L4DC Hsin-Jung Yang, Mahsa Khosravi, Benjamin Walt, Girish Krishnan, Soumik Sarkar
2025	J	`jnl`	Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms. CoRR Hsin-Jung Yang, Mahsa Khosravi, Benjamin Walt, Girish Krishnan, Soumik Sarkar
2024	J	`jnl`	3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs). CoRR Jaydeep Rade, Ethan Herron, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy
2024	J	`jnl`	A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. AI Open Qisai Liu, Xian Yeow Lee, Soumik Sarkar
2024	J	`jnl`	AIIRA: AI Institute for Resilient Agriculture. AI Mag. Baskar Ganapathysubramanian, Jessica M. P. Bell, George Kantor, Nirav C. Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh
2024	J	`jnl`	AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR 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
2024	J	`jnl`	AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. CoRR Mahsa Khosravi, Matthew E. Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar
2024	J	`jnl`	Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian
2024	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2024	A*	`conf`	BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity. NeurIPS Chih-Hsuan Yang, Benjamin Feuer, Talukder Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh Kumar Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian
2024	J	`jnl`	Class-specific Data Augmentation for Plant Stress Classification. CoRR Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian
2024	A*	`conf`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CVPR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
2024	J	`jnl`	Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions. CoRR Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy
2024	J	`jnl`	FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. CoRR Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2024	—	`conf`	Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
2024	J	`jnl`	FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. CoRR 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
2024	J	`jnl`	GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning. CoRR Hsin-Jung Yang, Joe Beck, Md. Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar
2024	J	`jnl`	Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning. CoRR Weisi Fan, Jesse Lane, Qisai Liu, Soumik Sarkar, Tichakorn Wongpiromsarn
2024	J	`jnl`	Latent Diffusion Models for Structural Component Design. Comput. Aided Des. Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2024	J	`jnl`	Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning. CoRR Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody H. Fleming
2024	J	`jnl`	Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean. CoRR Sarah E. Jones, Timilehin Ayanlade, Benjamin Fallen, Talukder Z. Jubery, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
2024	J	`jnl`	NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs. Eng. Comput. Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2024	J	`jnl`	Neural PDE Solvers for Irregular Domains. Comput. Aided Des. Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2024	J	`jnl`	Robust soybean seed yield estimation using high-throughput ground robot videos. CoRR Jiale Feng, Samuel W. Blair, Timilehin Ayanlade, Aditya Balu, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar, Asheesh Kumar Singh
2024	—	`conf`	SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. CVPR Workshops Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2024	J	`jnl`	STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. CoRR Anushrut Jignasu, Ethan Herron, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy
2024	J	`jnl`	Soybean Maturity Prediction using 2D Contour Plots from Drone based Time Series Imagery. CoRR Bitgoeul Kim, Samuel W. Blair, Talukder Z. Jubery, Soumik Sarkar, Arti Singh, Asheesh Kumar Singh, Baskar Ganapathysubramanian
2024	J	`jnl`	Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
2023	J	`jnl`	3D reconstruction of plants using probabilistic voxel carving. Comput. Electron. Agric. Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2023	J	`jnl`	Active shooter detection and robust tracking utilizing supplemental synthetic data. CoRR Joshua R. Waite, Jiale Feng, Riley Tavassoli, Laura M. Harris, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar
2023	J	`jnl`	Deep learning powered real-time identification of insects using citizen science data. CoRR Shivani Chiranjeevi, Mojdeh Saadati, Zi K. Deng, Jayanth Koushik, Talukder Z. Jubery, Daren S. Mueller, Matthew E. O. Neal, Nirav C. Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
2023	J	`jnl`	Deep learning-based 3D multigrid topology optimization of manufacturable designs. Eng. Appl. Artif. Intell. Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton M. Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy
2023	J	`jnl`	Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar
2023	J	`jnl`	Few-shot deep learning for AFM force curve characterization of single-molecule interactions. Patterns Joshua R. Waite, Sin Yong Tan, Homagni Saha, Soumik Sarkar, Anwesha Sarkar
2023	J	`jnl`	Latent Diffusion Models for Structural Component Design. CoRR Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2023	J	`jnl`	Out-of-distribution detection algorithms for robust insect classification. CoRR Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
2023	J	`jnl`	Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production. CoRR Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Kevin Menke, Anusha Vangala, Jorge C. M. Palomares, Aaron Prestholt, Vishesh Kumar Tanwar, Xu Tao, Matthew E. Carroll, Sajal K. Das, Gil Depaula, Peter Kyveryga, Soumik Sarkar, Michelle Segovia, Simone Sylvestri, Corinne Valdivia, Asheesh Kumar Singh
2023	J	`jnl`	SpecXAI - Spectral interpretability of Deep Learning Models. CoRR Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu
2023	J	`jnl`	Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
2022	J	`jnl`	3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images. CoRR Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy
2022	J	`jnl`	A Deep Learning Approach to Detect Lean Blowout in Combustion Systems. CoRR Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar
2022	J	`jnl`	A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment. Frontiers Robotics AI Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar
2022	J	`jnl`	Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
2022	—	`conf`	Concept Activation Vectors for Generating User-Defined 3D Shapes. CVPR Workshops Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
2022	J	`jnl`	Concept Activation Vectors for Generating User-Defined 3D Shapes. CoRR Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
2022	—	`conf`	Distributed Online Non-convex Optimization with Composite Regret. Allerton Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Distributed Online Non-convex Optimization with Composite Regret. CoRR Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	A*	`conf`	MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
2022	J	`jnl`	Neural PDE Solvers for Irregular Domains. CoRR Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2022	—	`conf`	Stochastic Conservative Contextual Linear Bandits. CDC Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2022	J	`jnl`	Stochastic Conservative Contextual Linear Bandits. CoRR Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2022	J	`jnl`	The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
2021	J	`jnl`	3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. CoRR Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar
2021	J	`jnl`	A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. CoRR Xian Yeow Lee, Soumik Sarkar, Yubo Wang
2021	J	`jnl`	A fast saddle-point dynamical system approach to robust deep learning. Neural Networks Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar
2021	J	`jnl`	A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment. CoRR Homagni Saha, Fateme Fotouhif, Qisai Liu, Soumik Sarkar
2021	J	`jnl`	Algorithmically-consistent deep learning frameworks for structural topology optimization. Eng. Appl. Artif. Intell. Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
2021	—	`conf`	Battery-Free Camera Occupancy Detection System. EMDL@MobiSys Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R. Smith, Soumik Sarkar
2021	A*	`conf`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Cross-Modal Virtual Sensing for Combustion Instability Monitoring. CoRR Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar
2021	Misc	`conf`	Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2021	A*	`conf`	Differentiable Spline Approximations. NeurIPS Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021	J	`jnl`	Differentiable Spline Approximations. CoRR Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021	J	`jnl`	Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	A	`conf`	Distributed multigrid neural solvers on megavoxel domains. SC Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian
2021	J	`jnl`	Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
2021	J	`jnl`	Granger Causality Based Hierarchical Time Series Clustering for State Estimation. CoRR Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar
2021	J	`jnl`	MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2021	J	`jnl`	NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy
2021	J	`jnl`	NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2021	—	`conf`	Query-based targeted action-space adversarial policies on deep reinforcement learning agents. ICCPS Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
2021	J	`jnl`	Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2021	J	`jnl`	Segmentation of natural images based on super pixel and graph merging. IET Comput. Vis. Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha
2021	Misc	`conf`	Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
2021	J	`jnl`	WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction. J. Sens. Actuator Networks Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua R. Smith
2020	J	`jnl`	Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning. CoRR Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
2020	J	`jnl`	Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2020	—	`conf`	Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
2020	J	`jnl`	Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. CoRR Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
2020	J	`jnl`	Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications. CoRR Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar
2020	C	`conf`	Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. IV Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma
2020	J	`jnl`	Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras. CoRR Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar
2020	J	`jnl`	How useful is Active Learning for Image-based Plant Phenotyping? CoRR Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
2020	—	`conf`	Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar
2020	A*	`conf`	InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2020	J	`jnl`	Physics-consistent deep learning for structural topology optimization. CoRR Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
2020	J	`jnl`	Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents. CoRR Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
2020	C	`conf`	Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. ACC Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
2020	J	`jnl`	Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. CoRR Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
2020	J	`jnl`	Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
2020	A*	`conf`	Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
2020	J	`jnl`	Usefulness of interpretability methods to explain deep learning based plant stress phenotyping. CoRR Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
2019	J	`jnl`	A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar
2019	—	`conf`	A perspective on multi-agent communication for information fusion. ViGIL@NeurIPS Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar
2019	J	`jnl`	A perspective on multi-agent communication for information fusion. CoRR Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar
2019	—	`conf`	Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
2019	J	`jnl`	Deep Reinforcement Learning for Adaptive Traffic Signal Control. CoRR Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar
2019	J	`jnl`	Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma
2019	J	`jnl`	Encoding Invariances in Deep Generative Models. CoRR Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2019	C	`conf`	For publication in 2019 ACC A flexible framework for building occupancy detection using spatiotemporal pattern networks. ACC Sin Yong Tan, Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar
2019	J	`jnl`	Generalised gossip-based subgradient method for distributed optimisation. Int. J. Control Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
2019	J	`jnl`	Learning to Cope with Adversarial Attacks. CoRR Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar
2019	—	`conf`	Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2019	J	`jnl`	On Higher-order Moments in Adam. CoRR Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2019	A*	`conf`	Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
2019	J	`jnl`	Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
2019	J	`jnl`	Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
2018	J	`jnl`	3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. CoRR Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar
2018	J	`jnl`	A Novel Multirobot System for Plant Phenotyping. Robotics Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya
2018	J	`jnl`	A deep learning framework for causal shape transformation. Neural Networks Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2018	J	`jnl`	An explainable deep machine vision framework for plant stress phenotyping. Proc. Natl. Acad. Sci. USA Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar
2018	C	`conf`	Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar
2018	J	`jnl`	Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps. CoRR Koushik Nagasubramanian, Sarah E. Jones, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar
2018	—	`conf`	Exploring Granger causality in dynamical systems modeling and performance monitoring. CDC Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar
2018	J	`jnl`	Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
2018	C	`conf`	Hierarchical Optimization for Building Energy Systems. ACC Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar
2018	J	`jnl`	Hierarchical symbolic dynamic filtering of streaming non-stationary time series data. Signal Process. Adedotun Akintayo, Soumik Sarkar
2018	J	`jnl`	Interpretable deep learning for guided structure-property explorations in photovoltaics. CoRR Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar
2018	J	`jnl`	Learning localized features in 3D CAD models for manufacturability analysis of drilled holes. Comput. Aided Geom. Des. Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2018	J	`jnl`	Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2018	C	`conf`	On Consensus-Disagreement Tradeoff in Distributed Optimization. ACC Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
2018	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2018	A*	`conf`	Online Robust Policy Learning in the Presence of Unknown Adversaries. NeurIPS Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
2018	J	`jnl`	Online Robust Policy Learning in the Presence of Unknown Adversaries. CoRR Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar
2018	—	`conf`	PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 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
2018	J	`jnl`	Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2018	J	`jnl`	Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. CoRR Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar
2018	J	`jnl`	Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2017	J	`jnl`	A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar
2017	—	`conf`	Collaborative Deep Learning in Fixed Topology Networks. NIPS Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	Collaborative Deep Learning in Fixed Topology Networks. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	C	`conf`	Convergence and noise effect analysis for generalized gossip-based distributed optimization. ACC Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
2017	—	`conf`	Data-driven root-cause analysis for distributed system anomalies. CDC Chao Liu, Kin Gwn Lore, Soumik Sarkar
2017	J	`jnl`	Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames. J. Signal Process. Syst. Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering
2017	J	`jnl`	Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean. CoRR Koushik Nagasubramanian, Sarah E. Jones, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian
2017	J	`jnl`	Interpretable Deep Learning applied to Plant Stress Phenotyping. CoRR Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar
2017	J	`jnl`	LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
2017	J	`jnl`	Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes. CoRR Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
2017	—	`conf`	Segmentation of Natural Image Based on Colour Cohesion and Spatial Criteria. ICAPR Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha
2016	J	`jnl`	A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge. CoRR Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo, Dermot Hayes, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar
2016	J	`jnl`	A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar
2016	J	`jnl`	A composite discretization scheme for symbolic identification of complex systems. Signal Process. Soumik Sarkar, Abhishek Srivastav
2016	—	`conf`	An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. ICCPS Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2016	J	`jnl`	An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection. CoRR Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark Mullaney, Christopher Marett, Asheesh K. Singh, Arti Singh, Greg Tylka, Baskar Ganapathysubramanian, Soumik Sarkar
2016	—	`conf`	Data driven exploration of traffic network system dynamics using high resolution probe data. CDC Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma
2016	J	`jnl`	Deep Action Sequence Learning for Causal Shape Transformation. CoRR Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2016	—	`conf`	Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. ICCPS Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar
2016	J	`jnl`	Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. CoRR Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar
2016	—	`conf`	Efficient power management circuit for RF energy harvesting with 74.27% efficiency at 623nW available power. NEWCAS Gaurav Saini, Soumik Sarkar, Mahima Arrawatia, Maryam Shojaei Baghini
2016	C	`conf`	Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. ACC Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray
2016	—	`conf`	Optimal design flow of CMOS doubler-based rectifiers. VDAT Soumik Sarkar, Gaurav Saini, Mahima Arrawatia, Maryam Shojaei Baghini
2016	J	`jnl`	Path planning in GPS-denied environments via collective intelligence of distributed sensor networks. Int. J. Control Devesh K. Jha, Pritthi Chattopadhyay, Soumik Sarkar, Asok Ray
2016	J	`jnl`	Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. CoRR Chao Liu, Kin Gwn Lore, Soumik Sarkar
2016	C	`conf`	Scalable supervisory control of building energy systems using generalized gossip. ACC Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul G. Kelkar
2016	C	`conf`	Topology control in mobile sensor networks using information space feedback. ACC Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha
2015	C	`conf`	A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data. ACC Adedotun Akintayo, Soumik Sarkar
2015	J	`jnl`	An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed CPS. CoRR Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar
2015	J	`jnl`	Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. CoRR Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar
2015	—	`conf`	Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. CoCo@NIPS Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar
2015	—	`conf`	Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2015	J	`jnl`	LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement. CoRR Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
2015	—	`conf`	On distributed optimization using generalized gossip. CDC Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee
2015	C	`conf`	Path planning in GPS-denied environments: A collective intelligence approach. ACC Pritthi Chattopadhyay, Devesh K. Jha, Soumik Sarkar, Asok Ray
2014	J	`jnl`	Event-Triggered Decision Propagation in Proximity Networks. Frontiers Robotics AI Soumik Sarkar, Kushal Mukherjee
2014	J	`jnl`	Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks. CoRR Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly
2014	J	`jnl`	Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes. Frontiers Robotics AI Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar
2013	J	`jnl`	Distributed decision propagation in mobile-agent proximity networks. Int. J. Control Soumik Sarkar, Kushal Mukherjee, Asok Ray
2013	C	`conf`	Maximally Bijective Discretization for data-driven modeling of complex systems. ACC Soumik Sarkar, Abhishek Srivastav, Madhusudana V. S. Shashanka
2013	C	`conf`	Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. ACC Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar
2012	C	`conf`	Distributed decision propagation in mobile agent networks. ACC Soumik Sarkar, Kushal Mukherjee, Asok Ray
2012	J	`jnl`	Optimization of symbolic feature extraction for pattern classification. Signal Process. Soumik Sarkar, Kushal Mukherjee, Xin Jin, Dheeraj S. Singh, Asok Ray
2012	J	`jnl`	Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks. IEEE Trans. Syst. Man Cybern. Part B Soumik Sarkar, Kushal Mukherjee, Asok Ray, Abhishek Srivastav, Thomas A. Wettergren
2012	C	`conf`	Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. ACC Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray
2011	C	`conf`	Optimal partitioning of ultrasonic data for fatigue damage detection? ACC Dheeraj Sharan Singh, Soumik Sarkar, Shalabh Gupta, Asok Ray
2011	C	`conf`	Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines. ACC Soumik Sarkar, Dheeraj Sharan Singh, Abhishek Srivastav, Asok Ray
2010	C	`conf`	Critical phenomena and finite-size scaling in communication networks? ACC Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray
2010	—	`conf`	Distributed decision propagation in mobile agent networks. CDC Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray
2010	C	`conf`	Symbolic identification for anomaly detection in aircraft gas turbine engines. ACC Subhadeep Chakraborty, Soumik Sarkar, Asok Ray, Shashi Phoha
2009	C	`conf`	Estimation of multiple faults in aircraft gas-turbine engines. ACC Soumik Sarkar, Chinmay Rao, Asok Ray
2009	J	`jnl`	Generalization of Hilbert transform for symbolic analysis of noisy signals. Signal Process. Soumik Sarkar, Kushal Mukherjee, Asok Ray
2009	J	`jnl`	Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns. Signal Image Video Process. Chinmay Rao, Asok Ray, Soumik Sarkar, Murat Yasar
2009	J	`jnl`	Statistical estimation of multiple parameters via symbolic dynamic filtering. Signal Process. Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray
2009	—	`conf`	Suboptimal partitioning of time-series data for anomaly detection. CDC Xin Jin, Soumik Sarkar, Kushal Mukherjee, Asok Ray
2009	C	`conf`	Symbolic analysis of time series signals using generalized Hilbert transform. ACC Soumik Sarkar, Kushal Mukherjee, Asok Ray
2009	C	`conf`	Understanding phase transition in communication networks to enable robust and resilient control. ACC Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray
2008	C	`conf`	Comparative evaluation of Symbolic Dynamic Filtering for detection of anomaly patterns. ACC Chinmay Rao, Soumik Sarkar, Asok Ray, Murat Yasar
2008	C	`conf`	Estimation of multiple parameters in dynamical systems. ACC Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray
2008	C	`conf`	Fault diagnosis and isolation in aircraft gas turbine engines. ACC Soumik Sarkar, Kushal Mukherjee, Asok Ray, Murat Yasar
2008	C	`conf`	Symbolic identification and anomaly detection in complex dynamical systems. ACC Subhadeep Chakraborty, Soumik Sarkar, Asok Ray