Symbolic identification and anomaly detection in complex dynamical systems. - Subhadeep Chakraborty; Soumik Sarkar; Asok Ray (ACC, 2008)

Estimation of multiple parameters in dynamical systems. - Chinmay Rao; Kushal Mukherjee; Soumik Sarkar; Asok Ray (ACC, 2008)

Comparative evaluation of Symbolic Dynamic Filtering for detection of anomaly patterns. - Chinmay Rao; Soumik Sarkar; Asok Ray; Murat Yasar (ACC, 2008)

Fault diagnosis and isolation in aircraft gas turbine engines. - Soumik Sarkar; Kushal Mukherjee; Asok Ray; Murat Yasar (ACC, 2008)

Symbolic analysis of time series signals using generalized Hilbert transform. - Soumik Sarkar; Kushal Mukherjee; Asok Ray (ACC, 2009)

Understanding phase transition in communication networks to enable robust and resilient control. - Soumik Sarkar; Kushal Mukherjee; Abhishek Srivastav; Asok Ray (ACC, 2009)

Estimation of multiple faults in aircraft gas-turbine engines. - Soumik Sarkar; Chinmay Rao; Asok Ray (ACC, 2009)

Suboptimal partitioning of time-series data for anomaly detection. - Xin Jin 016; Soumik Sarkar; Kushal Mukherjee; Asok Ray (CDC, 2009)

Statistical estimation of multiple parameters via symbolic dynamic filtering. - Chinmay Rao; Kushal Mukherjee; Soumik Sarkar; Asok Ray (Signal Process., 2009)

Generalization of Hilbert transform for symbolic analysis of noisy signals. - Soumik Sarkar; Kushal Mukherjee; Asok Ray (Signal Process., 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)

Symbolic identification for anomaly detection in aircraft gas turbine engines. - Subhadeep Chakraborty; Soumik Sarkar; Asok Ray; Shashi Phoha (ACC, 2010)

Critical phenomena and finite-size scaling in communication networks? - Soumik Sarkar; Kushal Mukherjee; Abhishek Srivastav; Asok Ray (ACC, 2010)

Distributed decision propagation in mobile agent networks. - Soumik Sarkar; Kushal Mukherjee; Abhishek Srivastav; Asok Ray (CDC, 2010)

Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines. - Soumik Sarkar; Dheeraj Sharan Singh; Abhishek Srivastav; Asok Ray (ACC, 2011)

Optimal partitioning of ultrasonic data for fatigue damage detection? - Dheeraj Sharan Singh; Soumik Sarkar; Shalabh Gupta; Asok Ray (ACC, 2011)

Distributed decision propagation in mobile agent networks. - Soumik Sarkar; Kushal Mukherjee; Asok Ray (ACC, 2012)

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines. - Soumalya Sarkar; Kushal Mukherjee; Soumik Sarkar; Asok Ray (ACC, 2012)

Optimization of symbolic feature extraction for pattern classification. - Soumik Sarkar; Kushal Mukherjee; Xin Jin 016; Dheeraj S. Singh; Asok Ray (Signal Process., 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)

Maximally Bijective Discretization for data-driven modeling of complex systems. - Soumik Sarkar; Abhishek Srivastav; Madhusudana V. S. Shashanka (ACC, 2013)

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems. - Soumalya Sarkar; Nurali Virani; Murat Yasar; Asok Ray; Soumik Sarkar (ACC, 2013)

Distributed decision propagation in mobile-agent proximity networks. - Soumik Sarkar; Kushal Mukherjee; Asok Ray (Int. J. Control, 2013)

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)

Event-Triggered Decision Propagation in Proximity Networks. - Soumik Sarkar; Kushal Mukherjee (Frontiers Robotics AI, 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)

A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data. - Adedotun Akintayo; Soumik Sarkar (ACC, 2015)

Path planning in GPS-denied environments: A collective intelligence approach. - Pritthi Chattopadhyay; Devesh K. Jha; Soumik Sarkar; Asok Ray (ACC, 2015)

On distributed optimization using generalized gossip. - Zhanhong Jiang; Soumik Sarkar; Kushal Mukherjee (CDC, 2015)

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. - Kin Gwn Lore; Daniel Stoecklein; Michael Davies; Baskar Ganapathysubramanian; Soumik Sarkar (FE@NIPS, 2015)

Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. - Soumalya Sarkar; Kin Gwn Lore; Soumik Sarkar (CoCo@NIPS, 2015)

Scalable supervisory control of building energy systems using generalized gossip. - Zhanhong Jiang; Venkatesh Chinde; Adam Kohl; Soumik Sarkar; Atul G. Kelkar (ACC, 2016)

Topology control in mobile sensor networks using information space feedback. - Kin Gwn Lore; Soumik Sarkar; Devesh K. Jha (ACC, 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 (ACC, 2016)

Data driven exploration of traffic network system dynamics using high resolution probe data. - Chao Liu 028; Bowen Huang; Mo Zhao; Soumik Sarkar; Umesh Vaidya; Anuj Sharma (CDC, 2016)

An Unsupervised Spatiotemporal Graphical Modeling Approach to Anomaly Detection in Distributed CPS. - Chao Liu 028; Sambuddha Ghosal; Zhanhong Jiang; Soumik Sarkar (ICCPS, 2016)

Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. - Kin Gwn Lore; Nicholas Sweet; Kundan Kumar; Nisar R. Ahmed; Soumik Sarkar (ICCPS, 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 (NEWCAS, 2016)

Optimal design flow of CMOS doubler-based rectifiers. - Soumik Sarkar; Gaurav Saini; Mahima Arrawatia; Maryam Shojaei Baghini (VDAT, 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)

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)

A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. - Aditya Balu; Kin Gwn Lore; Gavin Young; Adarsh Krishnamurthy; 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)

Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. - Chao Liu 028; Kin Gwn Lore; Soumik Sarkar (CoRR, 2016)

Deep Action Sequence Learning for Causal Shape Transformation. - Kin Gwn Lore; Daniel Stoecklein; Michael Davies; Baskar Ganapathysubramanian; Soumik Sarkar (CoRR, 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)

A composite discretization scheme for symbolic identification of complex systems. - Soumik Sarkar; Abhishek Srivastav (Signal Process., 2016)

Convergence and noise effect analysis for generalized gossip-based distributed optimization. - Zhanhong Jiang; Kushal Mukherjee; Soumik Sarkar (ACC, 2017)

Data-driven root-cause analysis for distributed system anomalies. - Chao Liu 028; Kin Gwn Lore; Soumik Sarkar (CDC, 2017)

Segmentation of Natural Image Based on Colour Cohesion and Spatial Criteria. - Aritra Mukherjee; Soumik Sarkar; Sanjoy Kumar Saha 001 (ICAPR, 2017)

Collaborative Deep Learning in Fixed Topology Networks. - Zhanhong Jiang; Aditya Balu; Chinmay Hegde; Soumik Sarkar (NIPS, 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)

Interpretable Deep Learning applied to Plant Stress Phenotyping. - Sambuddha Ghosal; David Blystone; Asheesh K. Singh; Baskar Ganapathysubramanian; Arti Singh; 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)

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. - Aditya Balu; Thanh Van Nguyen; Apurva Kokate; Chinmay Hegde; Soumik Sarkar (CoRR, 2017)

LLNet: A deep autoencoder approach to natural low-light image enhancement. - Kin Gwn Lore; Adedotun Akintayo; Soumik Sarkar (Pattern Recognit., 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)

On Consensus-Disagreement Tradeoff in Distributed Optimization. - Zhanhong Jiang; Kushal Mukherjee; Soumik Sarkar (ACC, 2018)

Hierarchical Optimization for Building Energy Systems. - Zhanhong Jiang; Timothy Wilkie; Soumik Sarkar (ACC, 2018)

Building Energy Disaggregation using Spatiotemporal Pattern Network. - Chao Liu 028; Zhanhong Jiang; Adedotun Akintayo; Gregor P. Henze; Soumik Sarkar (ACC, 2018)

Exploring Granger causality in dynamical systems modeling and performance monitoring. - Homagni Saha; Chao Liu 028; Zhanhong Jiang; Soumik Sarkar (CDC, 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 002; Zheng-Jun Zha; Feng Wu 001; et al. (ECCV Workshops (5), 2018)

Online Robust Policy Learning in the Presence of Unknown Adversaries. - Aaron J. Havens; Zhanhong Jiang; Soumik Sarkar (NeurIPS, 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)

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)

Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. - Zehui Jiang; Chao Liu 028; Nathan P. Hendricks; Baskar Ganapathysubramanian; Dermot J. Hayes; 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)

Interpretable deep learning for guided structure-property explorations in photovoltaics. - Balaji Sesha Sarath Pokuri; Sambuddha Ghosal; Apurva Kokate; Baskar Ganapathysubramanian; 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)

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)

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. - Xian Yeow Lee; Aditya Balu; Daniel Stoecklein; Baskar Ganapathysubramanian; Soumik Sarkar (CoRR, 2018)

A deep learning framework for causal shape transformation. - Kin Gwn Lore; Daniel Stoecklein; Michael Davies; Baskar Ganapathysubramanian; Soumik Sarkar (Neural Networks, 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 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)

Hierarchical symbolic dynamic filtering of streaming non-stationary time series data. - Adedotun Akintayo; Soumik Sarkar (Signal Process., 2018)

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 (ACC, 2019)

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (CVPR Workshops, 2019)

Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. - Amitangshu Mukherjee; Ameya Joshi; Soumik Sarkar; Chinmay Hegde (CVPR Workshops, 2019)

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. - Ameya Joshi; Amitangshu Mukherjee; Soumik Sarkar; Chinmay Hegde (ICCV, 2019)

A perspective on multi-agent communication for information fusion. - Homagni Saha; Vijay Venkataraman; Alberto Speranzon; Soumik Sarkar (ViGIL@NeurIPS, 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)

Encoding Invariances in Deep Generative Models. - Viraj Shah; Ameya Joshi; Sambuddha Ghosal; Balaji Sesha Sarath Pokuri; Soumik Sarkar; Baskar Ganapathysubramanian; Chinmay Hegde (CoRR, 2019)

Learning to Cope with Adversarial Attacks. - Xian Yeow Lee; Aaron J. Havens; Girish Chowdhary 001; 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)

A Saddle-Point Dynamical System Approach for Robust Deep Learning. - Yasaman Esfandiari; Keivan Ebrahimi; Aditya Balu; Nicola Elia; Umesh Vaidya; Soumik Sarkar (CoRR, 2019)

Deep Reinforcement Learning for Adaptive Traffic Signal Control. - Kai Liang Tan; Subhadipto Poddar; Anuj Sharma; Soumik Sarkar (CoRR, 2019)

Generalised gossip-based subgradient method for distributed optimisation. - Zhanhong Jiang; Kushal Mukherjee; Soumik Sarkar (Int. J. Control, 2019)

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

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

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. - Kai Liang Tan; Yasaman Esfandiari; Xian Yeow Lee; Aakanksha; Soumik Sarkar (ACC, 2020)

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. - Tryambak Gangopadhyay; Sin Yong Tan; Zhanhong Jiang; Soumik Sarkar (DDDAS, 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 (IV, 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 (MLHPC/AI4S@SC, 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)

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)

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)

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)

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 001; Soumik Sarkar (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)

Physics-consistent deep learning for structural topology optimization. - Jaydeep Rade; Aditya Balu; Ethan Herron; Jay Pathak; Rishikesh Ranade; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 2020)

Decentralized Deep Learning Using Momentum-Accelerated Consensus. - Aditya Balu; Zhanhong Jiang; Sin Yong Tan; Chinmay Hegde; Young M. Lee; Soumik Sarkar (ICASSP, 2021)

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. - Tryambak Gangopadhyay; Sin Yong Tan; Zhanhong Jiang; Rui Meng; Soumik Sarkar (ICASSP, 2021)

Query-based targeted action-space adversarial policies on deep reinforcement learning agents. - Xian Yeow Lee; Yasaman Esfandiari; Kai Liang Tan; Soumik Sarkar (ICCPS, 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 (ICML, 2021)

Battery-Free Camera Occupancy Detection System. - Ali Saffari; Sin Yong Tan; Mohamad Katanbaf; Homagni Saha; Joshua R. Smith 001; Soumik Sarkar (EMDL@MobiSys, 2021)

Differentiable Spline Approximations. - Minsu Cho; Aditya Balu; Ameya Joshi; Anjana Deva Prasad; Biswajit Khara; Soumik Sarkar; Baskar Ganapathysubramanian; Adarsh Krishnamurthy; Chinmay Hegde (NeurIPS, 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 (SC, 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)

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)

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)

Granger Causality Based Hierarchical Time Series Clustering for State Estimation. - Sin Yong Tan; Homagni Saha; Margarite Jacoby; Gregor Henze; Soumik Sarkar (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)

A Graph Policy Network Approach for Volt-Var Control in Power Distribution Systems. - Xian Yeow Lee; Soumik Sarkar; Yubo Wang (CoRR, 2021)

Cross-Modal Virtual Sensing for Combustion Instability Monitoring. - Tryambak Gangopadhyay; Vikram Ramanan; Satyanarayanan R. Chakravarthy; Soumik Sarkar (CoRR, 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)

On Consensus-Optimality Trade-offs in Collaborative Deep Learning. - Zhanhong Jiang; Aditya Balu; Chinmay Hegde; Soumik Sarkar (Frontiers Artif. Intell., 2021)

Segmentation of natural images based on super pixel and graph merging. - Aritra Mukherjee; Soumik Sarkar; Sanjoy Kumar Saha 001 (IET Comput. Vis., 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 001 (J. Sens. Actuator Networks, 2021)

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. - Chao Liu 028; Kin Gwn Lore; Zhanhong Jiang; Soumik Sarkar (Knowl. Based Syst., 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)

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)

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 (AAAI, 2022)

Distributed Online Non-convex Optimization with Composite Regret. - Zhanhong Jiang; Aditya Balu; Xian Yeow Lee; Young M. Lee; Chinmay Hegde; Soumik Sarkar (Allerton, 2022)

Stochastic Conservative Contextual Linear Bandits. - Jiabin Lin; Xian Yeow Lee; Talukder Z. Jubery; Shana Moothedath; Soumik Sarkar; Baskar Ganapathysubramanian (CDC, 2022)

Concept Activation Vectors for Generating User-Defined 3D Shapes. - Stefan Druc; Aditya Balu; Peter Wooldridge; Adarsh Krishnamurthy; Soumik Sarkar (CVPR Workshops, 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)

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)

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)

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images. - Jaydeep Rade; Soumik Sarkar; Anwesha Sarkar; Adarsh Krishnamurthy (CoRR, 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)

The Stochastic Augmented Lagrangian method for domain adaptation. - Zhanhong Jiang; Chao Liu 028; Young M. Lee; Chinmay Hegde; Soumik Sarkar; Dongxiang Jiang (Knowl. Based Syst., 2022)

SpecXAI - Spectral interpretability of Deep Learning Models. - Stefan Druc; Peter Wooldridge; Adarsh Krishnamurthy; Soumik Sarkar; Aditya Balu (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)

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 S. Mueller; Matthew E. O. Neal; Nirav C. Merchant; Aarti Singh; Asheesh K. Singh; Soumik Sarkar; Arti Singh; et al. (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)

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 012; Kevin Menke; Anusha Vangala; Jorge C. M. Palomares; Aaron Prestholt; Vishesh Kumar Tanwar; Xu Tao; et al. (CoRR, 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, 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., 2023)

Deep learning-based 3D multigrid topology optimization of manufacturable designs. - Jaydeep Rade; Anushrut Jignasu; Ethan Herron; Ashton M. Corpuz; Baskar Ganapathysubramanian; Soumik Sarkar; Aditya Balu; Adarsh Krishnamurthy (Eng. Appl. Artif. Intell., 2023)

SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. - Anushrut Jignasu; Aditya Balu; Soumik Sarkar; Chinmay Hegde; Baskar Ganapathysubramanian; Adarsh Krishnamurthy (CVPR Workshops, 2024)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. - Nastaran Saadati; Minh Pham 005; Nasla Saleem; Joshua R. Waite; Aditya Balu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (CVPR, 2024)

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity. - 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; et al. (NeurIPS, 2024)

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. - Ashutosh Nirala; Ameya Joshi; Soumik Sarkar; Chinmay Hegde (SaTML, 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)

A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. - Qisai Liu; Xian Yeow Lee; Soumik Sarkar (AI Open, 2024)

Latent Diffusion Models for Structural Component Design. - Ethan Herron; Jaydeep Rade; Anushrut Jignasu; Baskar Ganapathysubramanian; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (Comput. Aided Des., 2024)

Neural PDE Solvers for Irregular Domains. - 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 (Comput. Aided Des., 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)

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)

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)

Class-specific Data Augmentation for Plant Stress Classification. - Nasla Saleem; Aditya Balu; Talukder Zaki Jubery; Arti Singh; Asheesh K. Singh; Soumik Sarkar; Baskar Ganapathysubramanian (CoRR, 2024)

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. - 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; et al. (CoRR, 2024)

AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. - 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 (CoRR, 2024)

3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs). - Jaydeep Rade; Ethan Herron; Soumik Sarkar; Anwesha Sarkar; Adarsh Krishnamurthy (CoRR, 2024)

AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. - Mahsa Khosravi; Matthew Carroll; Kai Liang Tan; Liza Van der Laan; Joscif Raigne; Daren S. Mueller; Arti Singh; Aditya Balu; Baskar Ganapathysubramanian; Asheesh Kumar Singh; Soumik Sarkar (CoRR, 2024)

FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. - Ronak Tali; Ali Rabeh; Cheng-Hau Yang; Mehdi Shadkhah; Samundra Karki; Abhisek Upadhyaya; Suriya Dhakshinamoorthy; Marjan Saadati; Soumik Sarkar; Adarsh Krishnamurthy; Chinmay Hegde; Aditya Balu; et al. (CoRR, 2024)

Robust soybean seed yield estimation using high-throughput ground robot videos. - Jiale Feng; Samuel W. Blair; Timilehin Ayanlade; Aditya Balu; Baskar Ganapathysubramanian; Arti Singh; Soumik Sarkar; Asheesh Kumar Singh (CoRR, 2024)

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning. - Weisi Fan; Jesse Lane; Qisai Liu; Soumik Sarkar; Tichakorn Wongpiromsarn (CoRR, 2024)

FAWAC: Feasibility Informed Advantage Weighted Regression for Persistent Safety in Offline Reinforcement Learning. - Prajwal Koirala; Zhanhong Jiang; Soumik Sarkar; Cody H. Fleming (CoRR, 2024)

Soybean Maturity Prediction using 2D Contour Plots from Drone based Time Series Imagery. - Bitgoeul Kim; Samuel W. Blair; Talukder Z. Jubery; Soumik Sarkar; Arti Singh; Asheesh Kumar Singh; Baskar Ganapathysubramanian (CoRR, 2024)

STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. - Anushrut Jignasu; Ethan Herron; Zhanhong Jiang; Soumik Sarkar; Chinmay Hegde; Baskar Ganapathysubramanian; Aditya Balu; Adarsh Krishnamurthy (CoRR, 2024)

Dominating Set Model Aggregation for communication-efficient decentralized deep learning. - Fateme Fotouhi; Aditya Balu; Zhanhong Jiang; Yasaman Esfandiari; Salman Jahani; Soumik Sarkar (Neural Networks, 2024)

Asynchronous Training Schemes in Distributed Learning with Time Delay. - Haoxiang Wang 006; Zhanhong Jiang; Chao Liu 028; Soumik Sarkar; Dongxiang Jiang; Young M. Lee (Trans. Mach. Learn. Res., 2024)

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 (IEEE Trans. Intell. Transp. Syst., 2024)

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 (Eng. Comput., 2024)

SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. - Kibon Ku; Talukder Z. Jubery; Elijah Rodriguez; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CVPR Workshops, 2025)

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. - Joshua R. Waite; Md. Zahid Hasan; Qisai Liu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (ICCPS, 2025)

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

Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms. - Hsin-Jung Yang; Mahsa Khosravi; Benjamin Walt; Girish Krishnan; Soumik Sarkar (L4DC, 2025)

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

Procedural generation of 3D maize plant architecture from LiDAR data. - Mozhgan Hadadi; Mehdi Saraeian; Jackson Godbersen; Talukder Z. Jubery; Yawei Li; Lakshmi Attigala; Aditya Balu; Soumik Sarkar; Patrick S. Schnable; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (Comput. Electron. Agric., 2025)

Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. - Ali Rabeh; Ethan Herron; Aditya Balu; Soumik Sarkar; Chinmay Hegde; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)

Enhancing PPO with Trajectory-Aware Hybrid Policies. - Qisai Liu; Zhanhong Jiang; Hsin-Jung Yang; Mahsa Khosravi; Joshua R. Waite; Soumik Sarkar (CoRR, 2025)

FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization. - Zhanhong Jiang; Md. Zahid Hasan; Aditya Balu; Joshua R. Waite; Genyi Huang; Soumik Sarkar (CoRR, 2025)

Optimizing Navigation And Chemical Application in Precision Agriculture With Deep Reinforcement Learning And Conditional Action Tree. - Mahsa Khosravi; Zhanhong Jiang; Joshua R. Waite; Sarah E. Jones; Hernan Torres; Arti Singh; Baskar Ganapathysubramanian; Asheesh Kumar Singh; Soumik Sarkar (CoRR, 2025)

NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. - Kibon Ku; Talukder Z. Jubery; Elijah Rodriguez; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. - Qisai Liu; Zhanhong Jiang; Joshua R. Waite; Chao Liu 028; Aditya Balu; Soumik Sarkar (CoRR, 2025)

Associating transportation planning-related measures with Mild Cognitive Impairment. - Souradeep Chattopadhyay; Guillermo Basulto-Elias; Jun Ha Chang; Matthew Rizzo; Shauna Hallmark; Anuj Sharma; Soumik Sarkar (CoRR, 2025)

Find the Fruit: Designing a Zero-Shot Sim2Real Deep RL Planner for Occlusion Aware Plant Manipulation. - Nitesh Subedi; Hsin-Jung Yang; Devesh K. Jha; Soumik Sarkar (CoRR, 2025)

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification. - 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; et al. (CoRR, 2025)

Towards Large Reasoning Models for Agriculture. - 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; et al. (CoRR, 2025)

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models. - Nastaran Saadati; Zhanhong Jiang; Joshua R. Waite; Shreyan Ganguly; Aditya Balu; Chinmay Hegde; Soumik Sarkar (CoRR, 2025)

TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models. - 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 (CoRR, 2025)

ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture. - Vishesh Kumar Tanwar; Soumik Sarkar; Asheesh Kumar Singh; Sajal K. Das 001 (CoRR, 2025)

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation? - Nitesh Subedi; Adam Haroon; Shreyan Ganguly; Samuel T. K. Tetteh; Prajwal Koirala; Cody H. Fleming; Soumik Sarkar (CoRR, 2025)

Driving as a Diagnostic Tool: Scenario-based Cognitive Assessment in Older Drivers From Driving Video. - Md. Zahid Hasan; Guillermo Basulto-Elias; Jun Ha Chang; Sahuna Hallmark; Matthew Rizzo; Anuj Sharma; Soumik Sarkar (CoRR, 2025)

Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification. - Zhanhong Jiang; Dylan Shah; Hsin-Jung Yang; Soumik Sarkar (CoRR, 2025)