Soumik Sarkar
Orcid: 0000-0002-6775-9199
According to our database1,
Soumik Sarkar
authored at least 159 papers
between 2008 and 2024.
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Bibliography
2024
NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs.
Eng. Comput., October, 2024
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos.
IEEE Trans. Intell. Transp. Syst., September, 2024
Trans. Mach. Learn. Res., 2024
Dominating Set Model Aggregation for communication-efficient decentralized deep learning.
Neural Networks, 2024
CoRR, 2024
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning.
CoRR, 2024
3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs).
CoRR, 2024
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs.
CoRR, 2024
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning.
CoRR, 2024
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean.
CoRR, 2024
CoRR, 2024
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations.
AI Open, 2024
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Eng. Appl. Artif. Intell., November, 2023
Comput. Electron. Agric., October, 2023
Few-shot deep learning for AFM force curve characterization of single-molecule interactions.
Patterns, January, 2023
Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production.
CoRR, 2023
CoRR, 2023
Deep learning powered real-time identification of insects using citizen science data.
CoRR, 2023
CoRR, 2023
2022
Knowl. Based Syst., 2022
A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment.
Frontiers Robotics AI, 2022
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images.
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neural Networks, 2021
Nat. Comput. Sci., 2021
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems.
Knowl. Based Syst., 2021
J. Sens. Actuator Networks, 2021
IET Comput. Vis., 2021
Frontiers Artif. Intell., 2021
Algorithmically-consistent deep learning frameworks for structural topology optimization.
Eng. Appl. Artif. Intell., 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment.
CoRR, 2021
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems.
CoRR, 2021
Comput. Aided Geom. Des., 2021
Proceedings of the International Conference for High Performance Computing, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Query-based targeted action-space adversarial policies on deep reinforcement learning agents.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
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.
CoRR, 2020
Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras.
CoRR, 2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.
CoRR, 2020
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping.
CoRR, 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning.
CoRR, 2020
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems.
Proceedings of the Dynamic Data Driven Applications Systems, 2020
Proceedings of the 2020 American Control Conference, 2020
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Int. J. Control, 2019
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions.
CoRR, 2019
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
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.
Proceedings of the 2019 American Control Conference, 2019
2018
Hierarchical symbolic dynamic filtering of streaming non-stationary time series data.
Signal Process., 2018
Proc. Natl. Acad. Sci. USA, 2018
CoRR, 2018
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys.
CoRR, 2018
CoRR, 2018
Interpretable deep learning for guided structure-property explorations in photovoltaics.
CoRR, 2018
CoRR, 2018
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps.
CoRR, 2018
Learning localized features in 3D CAD models for manufacturability analysis of drilled holes.
Comput. Aided Geom. Des., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Exploring Granger causality in dynamical systems modeling and performance monitoring.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
J. Signal Process. Syst., 2017
Pattern Recognit., 2017
CoRR, 2017
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes.
CoRR, 2017
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Convergence and noise effect analysis for generalized gossip-based distributed optimization.
Proceedings of the 2017 American Control Conference, 2017
2016
Signal Process., 2016
Path planning in GPS-denied environments via collective intelligence of distributed sensor networks.
Int. J. Control, 2016
Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling.
CoRR, 2016
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge.
CoRR, 2016
CoRR, 2016
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video.
CoRR, 2016
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection.
CoRR, 2016
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.
Proceedings of the 14th IEEE International New Circuits and Systems Conference, 2016
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering.
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.
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.
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.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video.
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
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data.
Proceedings of the American Control Conference, 2015
2014
Sensor Fusion for Fault Detection and Classification in Distributed Physical Processes.
Frontiers Robotics AI, 2014
Frontiers Robotics AI, 2014
CoRR, 2014
2013
Int. J. Control, 2013
Spatiotemporal information fusion for fault detection in shipboard auxiliary systems.
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2012
Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Signal Process., 2012
Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines.
Proceedings of the American Control Conference, 2012
Proceedings of the American Control Conference, 2012
2011
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns.
Signal Image Video Process., 2009
Signal Process., 2009
Signal Process., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the American Control Conference, 2009
Understanding phase transition in communication networks to enable robust and resilient control.
Proceedings of the American Control Conference, 2009
Proceedings of the American Control Conference, 2009
2008
Proceedings of the American Control Conference, 2008
Comparative evaluation of Symbolic Dynamic Filtering for detection of anomaly patterns.
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008
Proceedings of the American Control Conference, 2008