Soumik Sarkar

According to our database, Soumik Sarkar authored at least 147 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning.

Hsin-Jung Yang, Joe Beck, Md. Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar

CoRR, 2024

Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean.

Sarah E. Jones, Timilehin Ayanlade, Benjamin Fallen, Talukder Z. Jubery, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh

CoRR, 2024

Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions.

Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2024

AIIRA: AI Institute for Resilient Agriculture.

Baskar Ganapathysubramanian, Jessica M. P. Bell, George Kantor, Nirav C. Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh

AI Mag., 2024

2023

3D reconstruction of plants using probabilistic voxel carving.

Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

Comput. Electron. Agric., October, 2023

Few-shot deep learning for AFM force curve characterization of single-molecule interactions.

Joshua R. Waite, Sin Yong Tan, Homagni Saha, Soumik Sarkar, Anwesha Sarkar

Patterns, January, 2023

Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production.

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

CoRR, 2023

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing.

Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar

CoRR, 2023

Latent Diffusion Models for Structural Component Design.

Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2023

Active shooter detection and robust tracking utilizing supplemental synthetic data.

Joshua R. Waite, Jiale Feng, Riley Tavassoli, Laura M. Harris, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar

CoRR, 2023

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos.

Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar

CoRR, 2023

Deep learning powered real-time identification of insects using citizen science data.

Shivani Chiranjeevi, Mojdeh Saadati, Zi K. Deng, Jayanth Koushik, Talukder Z. Jubery, Daren Mueller, Matthew E. O. Neal, Nirav C. Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

CoRR, 2023

Out-of-distribution detection algorithms for robust insect classification.

Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

CoRR, 2023

SpecXAI - Spectral interpretability of Deep Learning Models.

Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu

CoRR, 2023

2022

The Stochastic Augmented Lagrangian method for domain adaptation.

Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang

Knowl. Based Syst., 2022

A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment.

Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar

Frontiers Robotics AI, 2022

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images.

Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy

CoRR, 2022

Neural PDE Solvers for Irregular Domains.

Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

CoRR, 2022

Asynchronous Training Schemes in Distributed Learning with Time Delay.

Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee

CoRR, 2022

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems.

Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar

CoRR, 2022

NURBS-Diff: A Differentiable Programming Module for NURBS.

Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy

Comput. Aided Des., 2022

Concept Activation Vectors for Generating User-Defined 3D Shapes.

Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Stochastic Conservative Contextual Linear Bandits.

Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Distributed Online Non-convex Optimization with Composite Regret.

Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the 58th Annual Allerton Conference on Communication, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A fast saddle-point dynamical system approach to robust deep learning.

Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar

Neural Networks, 2021

Fast inverse design of microstructures via generative invariance networks.

Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar

Nat. Comput. Sci., 2021

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems.

Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar

Knowl. Based Syst., 2021

WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction.

Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua R. Smith

J. Sens. Actuator Networks, 2021

Segmentation of natural images based on super pixel and graph merging.

Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha

IET Comput. Vis., 2021

On Consensus-Optimality Trade-offs in Collaborative Deep Learning.

Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

Frontiers Artif. Intell., 2021

Algorithmically-consistent deep learning frameworks for structural topology optimization.

Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy

Eng. Appl. Artif. Intell., 2021

Cross-Modal Virtual Sensing for Combustion Instability Monitoring.

Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R. Chakravarthy, Soumik Sarkar

CoRR, 2021

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs.

Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

CoRR, 2021

A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems.

Xian Yeow Lee, Soumik Sarkar, Yubo Wang

CoRR, 2021

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications.

Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2021

Granger Causality Based Hierarchical Time Series Clustering for State Estimation.

Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar

CoRR, 2021

A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment.

Homagni Saha, Fateme Fotouhif, Qisai Liu, Soumik Sarkar

CoRR, 2021

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems.

Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar

CoRR, 2021

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Comput. Aided Geom. Des., 2021

Distributed multigrid neural solvers on megavoxel domains.

Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian

Proceedings of the International Conference for High Performance Computing, 2021

Differentiable Spline Approximations.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Battery-Free Camera Occupancy Detection System.

Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R. Smith, Soumik Sarkar

Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

Query-based targeted action-space adversarial policies on deep reinforcement learning agents.

Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar

Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

Decentralized Deep Learning Using Momentum-Accelerated Consensus.

Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Physics-consistent deep learning for structural topology optimization.

Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2020

Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications.

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

CoRR, 2020

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras.

Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar

CoRR, 2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.

Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian

CoRR, 2020

Usefulness of interpretability methods to explain deep learning based plant stress phenotyping.

Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

CoRR, 2020

Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning.

Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh

CoRR, 2020

How useful is Active Learning for Image-based Plant Phenotyping?

Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

CoRR, 2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.

Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian

Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Detecting and Tracking Unsafe Lane Departure Events for Predicting Driver Safety in Challenging Naturalistic Driving Data.

Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems.

Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

Proceedings of the Dynamic Data Driven Applications Systems, 2020

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training.

Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar

Proceedings of the 2020 American Control Conference, 2020

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents.

Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generalised gossip-based subgradient method for distributed optimisation.

Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

Int. J. Control, 2019

Deep Reinforcement Learning for Adaptive Traffic Signal Control.

Kai Liang Tan, Subhadipto Poddar, Anuj Sharma, Soumik Sarkar

CoRR, 2019

A Saddle-Point Dynamical System Approach for Robust Deep Learning.

Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar

CoRR, 2019

On Higher-order Moments in Adam.

Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar

CoRR, 2019

Learning to Cope with Adversarial Attacks.

Xian Yeow Lee, Aaron J. Havens, Girish Chowdhary, Soumik Sarkar

CoRR, 2019

Encoding Invariances in Deep Generative Models.

Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2019

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions.

Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma

CoRR, 2019

A perspective on multi-agent communication for information fusion.

Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers.

Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models.

Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

For publication in 2019 ACC A flexible framework for building occupancy detection using spatiotemporal pattern networks.

Sin Yong Tan, Homagni Saha, Anthony R. Florita, Gregor P. Henze, Soumik Sarkar

Proceedings of the 2019 American Control Conference, 2019

2018

Hierarchical symbolic dynamic filtering of streaming non-stationary time series data.

Adedotun Akintayo, Soumik Sarkar

Signal Process., 2018

A Novel Multirobot System for Plant Phenotyping.

Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya

Robotics, 2018

An explainable deep machine vision framework for plant stress phenotyping.

Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar

Proc. Natl. Acad. Sci. USA, 2018

A deep learning framework for causal shape transformation.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Neural Networks, 2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning.

Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2018

3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys.

Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar

CoRR, 2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures.

Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2018

Interpretable deep learning for guided structure-property explorations in photovoltaics.

Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2018

Multi-Resolution 3D Convolutional Neural Networks for Object Recognition.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2018

Predicting County Level Corn Yields Using Deep Long Short Term Memory Models.

Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar

CoRR, 2018

Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps.

Koushik Nagasubramanian, Sarah E. Jones, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2018

Learning localized features in 3D CAD models for manufacturability analysis of drilled holes.

Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Comput. Aided Geom. Des., 2018

Online Robust Policy Learning in the Presence of Unknown Adversaries.

Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Exploring Granger causality in dynamical systems modeling and performance monitoring.

Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Building Energy Disaggregation using Spatiotemporal Pattern Network.

Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

Hierarchical Optimization for Building Energy Systems.

Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

On Consensus-Disagreement Tradeoff in Distributed Optimization.

Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames.

Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering

J. Signal Process. Syst., 2017

LLNet: A deep autoencoder approach to natural low-light image enhancement.

Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar

Pattern Recognit., 2017

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks.

Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar

CoRR, 2017

Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes.

Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

CoRR, 2017

Interpretable Deep Learning applied to Plant Stress Phenotyping.

Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar

CoRR, 2017

Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean.

Koushik Nagasubramanian, Sarah E. Jones, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian

CoRR, 2017

Collaborative Deep Learning in Fixed Topology Networks.

Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Segmentation of Natural Image Based on Colour Cohesion and Spatial Criteria.

Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha

Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Data-driven root-cause analysis for distributed system anomalies.

Chao Liu, Kin Gwn Lore, Soumik Sarkar

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Convergence and noise effect analysis for generalized gossip-based distributed optimization.

Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

Proceedings of the 2017 American Control Conference, 2017

2016

A composite discretization scheme for symbolic identification of complex systems.

Soumik Sarkar, Abhishek Srivastav

Signal Process., 2016

Path planning in GPS-denied environments via collective intelligence of distributed sensor networks.

Devesh K. Jha, Pritthi Chattopadhyay, Soumik Sarkar, Asok Ray

Int. J. Control, 2016

Deep Action Sequence Learning for Causal Shape Transformation.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling.

Chao Liu, Kin Gwn Lore, Soumik Sarkar

CoRR, 2016

A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge.

Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo, Dermot Hayes, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework.

Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar

CoRR, 2016

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video.

Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar

CoRR, 2016

An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection.

Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark Mullaney, Christopher Marett, Asheesh K. Singh, Arti Singh, Greg Tylka, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

Optimal design flow of CMOS doubler-based rectifiers.

Soumik Sarkar, Gaurav Saini, Mahima Arrawatia, Maryam Shojaei Baghini

Proceedings of the 20th International Symposium on VLSI Design and Test, 2016

Efficient power management circuit for RF energy harvesting with 74.27% efficiency at 623nW available power.

Gaurav Saini, Soumik Sarkar, Mahima Arrawatia, Maryam Shojaei Baghini

Proceedings of the 14th IEEE International New Circuits and Systems Conference, 2016

Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering.

Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS.

Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Data driven exploration of traffic network system dynamics using high resolution probe data.

Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities.

Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray

Proceedings of the 2016 American Control Conference, 2016

Topology control in mobile sensor networks using information space feedback.

Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha

Proceedings of the 2016 American Control Conference, 2016

Scalable supervisory control of building energy systems using generalized gossip.

Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul Kelkar

Proceedings of the 2016 American Control Conference, 2016

2015

Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video.

Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

On distributed optimization using generalized gossip.

Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Path planning in GPS-denied environments: A collective intelligence approach.

Pritthi Chattopadhyay, Devesh K. Jha, Soumik Sarkar, Asok Ray

Proceedings of the American Control Conference, 2015

A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data.

Adedotun Akintayo, Soumik Sarkar

Proceedings of the American Control Conference, 2015

2014

Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes.

Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar

Frontiers Robotics AI, 2014

Event-Triggered Decision Propagation in Proximity Networks.

Soumik Sarkar, Kushal Mukherjee

Frontiers Robotics AI, 2014

Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks.

Soumik Sarkar, Vivek Venugopalan, Kishore K. Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly

CoRR, 2014

2013

Distributed decision propagation in mobile-agent proximity networks.

Soumik Sarkar, Kushal Mukherjee, Asok Ray

Int. J. Control, 2013

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems.

Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar

Proceedings of the American Control Conference, 2013

Maximally Bijective Discretization for data-driven modeling of complex systems.

Soumik Sarkar, Abhishek Srivastav, Madhusudana V. S. Shashanka

Proceedings of the American Control Conference, 2013

2012

Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks.

Soumik Sarkar, Kushal Mukherjee, Asok Ray, Abhishek Srivastav, Thomas A. Wettergren

IEEE Trans. Syst. Man Cybern. Part B, 2012

Optimization of symbolic feature extraction for pattern classification.

Soumik Sarkar, Kushal Mukherjee, Xin Jin, Dheeraj S. Singh, Asok Ray

Signal Process., 2012

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines.

Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray

Proceedings of the American Control Conference, 2012

Distributed decision propagation in mobile agent networks.

Soumik Sarkar, Kushal Mukherjee, Asok Ray

Proceedings of the American Control Conference, 2012

2011

Optimal partitioning of ultrasonic data for fatigue damage detection?

Dheeraj Sharan Singh, Soumik Sarkar, Shalabh Gupta, Asok Ray

Proceedings of the American Control Conference, 2011

Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines.

Soumik Sarkar, Dheeraj Sharan Singh, Abhishek Srivastav, Asok Ray

Proceedings of the American Control Conference, 2011

2010

Distributed decision propagation in mobile agent networks.

Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Critical phenomena and finite-size scaling in communication networks?

Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray

Proceedings of the American Control Conference, 2010

Symbolic identification for anomaly detection in aircraft gas turbine engines.

Subhadeep Chakraborty, Soumik Sarkar, Asok Ray, Shashi Phoha

Proceedings of the American Control Conference, 2010

2009

Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns.

Chinmay Rao, Asok Ray, Soumik Sarkar, Murat Yasar

Signal Image Video Process., 2009

Generalization of Hilbert transform for symbolic analysis of noisy signals.

Soumik Sarkar, Kushal Mukherjee, Asok Ray

Signal Process., 2009

Statistical estimation of multiple parameters via symbolic dynamic filtering.

Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray

Signal Process., 2009

Suboptimal partitioning of time-series data for anomaly detection.

Xin Jin, Soumik Sarkar, Kushal Mukherjee, Asok Ray

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Estimation of multiple faults in aircraft gas-turbine engines.

Soumik Sarkar, Chinmay Rao, Asok Ray

Proceedings of the American Control Conference, 2009

Understanding phase transition in communication networks to enable robust and resilient control.

Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray

Proceedings of the American Control Conference, 2009

Symbolic analysis of time series signals using generalized Hilbert transform.

Soumik Sarkar, Kushal Mukherjee, Asok Ray

Proceedings of the American Control Conference, 2009

2008

Fault diagnosis and isolation in aircraft gas turbine engines.

Soumik Sarkar, Kushal Mukherjee, Asok Ray, Murat Yasar

Proceedings of the American Control Conference, 2008

Comparative evaluation of Symbolic Dynamic Filtering for detection of anomaly patterns.

Chinmay Rao, Soumik Sarkar, Asok Ray, Murat Yasar

Proceedings of the American Control Conference, 2008

Estimation of multiple parameters in dynamical systems.

Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray

Proceedings of the American Control Conference, 2008

Symbolic identification and anomaly detection in complex dynamical systems.

Subhadeep Chakraborty, Soumik Sarkar, Asok Ray

Proceedings of the American Control Conference, 2008