Soumik Sarkar

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 145

Top Venues

CoRR

ACC

CDC

Frontiers Robotics AI

Publications

Hsin-Jung Yang, Joe Beck, Md. Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning. CoRR (2024)
Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy
Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions. CoRR (2024)
Baskar Ganapathysubramanian, Jessica M. P. Bell, George Kantor, Nirav C. Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh
AIIRA: AI Institute for Resilient Agriculture. AI Mag. 45 (1) (2024)
Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML (2024)
Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks 171 (2024)
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Latent Diffusion Models for Structural Component Design. Comput. Aided Des. 171 (2024)
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. 2024 (2024)
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
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR (2024)
Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian
Class-specific Data Augmentation for Plant Stress Classification. CoRR (2024)
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
Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 172 (2024)
Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR (2024)
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
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR (2024)
Sarah E. Jones, Timilehin Ayanlade, Benjamin Fallen, Talukder Z. Jubery, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean. CoRR (2024)
Joshua R. Waite, Jiale Feng, Riley Tavassoli, Laura M. Harris, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar
Active shooter detection and robust tracking utilizing supplemental synthetic data. CoRR (2023)
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 K. Singh
Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production. CoRR (2023)
Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
3D reconstruction of plants using probabilistic voxel carving. Comput. Electron. Agric. 213 (2023)
Md Zahid Hasan, Jiajing Chen, Jiyang Wang, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR (2023)
Shivani Chiranjeevi, Mojdeh Saadati, Zi K. Deng, Jayanth Koushik, Talukder Z. Jubery, Daren Mueller, Matthew E. O. Neal, Nirav Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
Deep learning powered real-time identification of insects using citizen science data. CoRR (2023)
Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy
Deep learning-based 3D multigrid topology optimization of manufacturable designs. Eng. Appl. Artif. Intell. 126 (2023)
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Latent Diffusion Models for Structural Component Design. CoRR (2023)
Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR (2023)
Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu
SpecXAI - Spectral interpretability of Deep Learning Models. CoRR (2023)
Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
Out-of-distribution detection algorithms for robust insect classification. CoRR (2023)
Joshua R. Waite, Sin Yong Tan, Homagni Saha, Soumik Sarkar, Anwesha Sarkar
Few-shot deep learning for AFM force curve characterization of single-molecule interactions. Patterns 4 (1) (2023)
Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar
A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment. Frontiers Robotics AI 9 (2022)
Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. 235 (2022)
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. 146 (2022)
Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems. CoRR (2022)
Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images. CoRR (2022)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. CoRR (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. Allerton (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CDC (2022)
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CoRR (2022)
Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
Concept Activation Vectors for Generating User-Defined 3D Shapes. CoRR (2022)
Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
Concept Activation Vectors for Generating User-Defined 3D Shapes. CVPR Workshops (2022)
Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar
A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment. Future Internet 9 (2022)
Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Neural PDE Solvers for Irregular Domains. CoRR (2022)
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. 211 (2021)
Homagni Saha, Fateme Fotouhif, Qisai Liu, Soumik Sarkar
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment. CoRR (2021)
Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor P. Henze, Soumik Sarkar
Granger Causality Based Hierarchical Time Series Clustering for State Estimation. CoRR (2021)
Xian Yeow Lee, Soumik Sarkar, Yubo Wang
A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. CoRR (2021)
Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha
Segmentation of natural images based on super pixel and graph merging. IET Comput. Vis. 15 (1) (2021)
Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar
A fast saddle-point dynamical system approach to robust deep learning. Neural Networks 139 (2021)
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. NeurIPS (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. CoRR (2021)
Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. CoRR (2021)
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian
Distributed multigrid neural solvers on megavoxel domains. SC (2021)
Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. 1 (3) (2021)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP (2021)
Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR (2021)
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
Algorithmically-consistent deep learning frameworks for structural topology optimization. Eng. Appl. Artif. Intell. 106 (2021)
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP (2021)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR (2021)
Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar
Cross-Modal Virtual Sensing for Combustion Instability Monitoring. CoRR (2021)
Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R. Smith, Soumik Sarkar
Battery-Free Camera Occupancy Detection System. EMDL@MobiSys (2021)
Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. 91 (2021)
Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua R. Smith
WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction. J. Sens. Actuator Networks 10 (4) (2021)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4 (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR (2021)
Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
Query-based targeted action-space adversarial policies on deep reinforcement learning agents. ICCPS (2021)
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML (2021)
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS (2020)
Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras. CoRR (2020)
Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. CoRR (2020)
Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning. CoRR (2020)
Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma
Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data. IV (2020)
Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. CoRR (2020)
Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI (2020)
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
Physics-consistent deep learning for structural topology optimization. CoRR (2020)
Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. ACC (2020)
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
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 (2020)
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR (2020)
Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping. CoRR (2020)
Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar
Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents. CoRR (2020)
Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI (2020)
Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
How useful is Active Learning for Image-based Plant Phenotyping? CoRR (2020)
Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC (2020)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR (2020)
Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. CoRR (2019)
Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR (2019)
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV (2019)
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR (2019)
Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar
Learning to Cope with Adversarial Attacks. CoRR (2019)
Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops (2019)
Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar
Generalised gossip-based subgradient method for distributed optimisation. Int. J. Control 92 (6) (2019)
Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar
Deep Reinforcement Learning for Adaptive Traffic Signal Control. CoRR (2019)
Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Encoding Invariances in Deep Generative Models. CoRR (2019)
Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops (2019)
Sin Yong Tan, Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar
For publication in 2019 ACC A flexible framework for building occupancy detection using spatiotemporal pattern networks. ACC (2019)
Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar
A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR (2019)
Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar
A perspective on multi-agent communication for information fusion. CoRR (2019)
Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
On Higher-order Moments in Adam. CoRR (2019)
Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar
A perspective on multi-agent communication for information fusion. ViGIL@NeurIPS (2019)
Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR (2018)
Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Learning localized features in 3D CAD models for manufacturability analysis of drilled holes. Comput. Aided Geom. Des. 62 (2018)
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Soumik Sarkar