Soumik Sarkar

According to our database1, Soumik Sarkar authored at least 99 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Query-based Targeted Action-Space Adversarial Policies on Deep Reinforcement Learning Agents.
CoRR, 2020

Decentralized Deep Learning using Momentum-Accelerated Consensus.
CoRR, 2020

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras.
CoRR, 2020

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation.
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

How useful is Active Learning for Image-based Plant Phenotyping?
CoRR, 2020

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems.
Proceedings of the Dynamic Data Driven Application Systems, 2020

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training.
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

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Generalised gossip-based subgradient method for distributed optimisation.
Int. J. Control, 2019

Deep Reinforcement Learning for Adaptive Traffic Signal Control.
CoRR, 2019

A Saddle-Point Dynamical System Approach for Robust Deep Learning.
CoRR, 2019

On Higher-order Moments in Adam.
CoRR, 2019

Learning to Cope with Adversarial Attacks.
CoRR, 2019

Encoding Invariances in Deep Generative Models.
CoRR, 2019

Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions.
CoRR, 2019

A perspective on multi-agent communication for information fusion.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

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

A Novel Multirobot System for Plant Phenotyping.
Robotics, 2018

An explainable deep machine vision framework for plant stress phenotyping.
Proc. Natl. Acad. Sci. USA, 2018

A deep learning framework for causal shape transformation.
Neural Networks, 2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning.
CoRR, 2018

3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys.
CoRR, 2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures.
CoRR, 2018

Interpretable deep learning for guided structure-property explorations in photovoltaics.
CoRR, 2018

Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems.
CoRR, 2018

Multi-Resolution 3D Convolutional Neural Networks for Object Recognition.
CoRR, 2018

On Consensus-Optimality Trade-offs in Collaborative Deep Learning.
CoRR, 2018

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

Online Robust Policy Learning in the Presence of Unknown Adversaries.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


Exploring Granger causality in dynamical systems modeling and performance monitoring.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Building Energy Disaggregation using Spatiotemporal Pattern Network.
Proceedings of the 2018 Annual American Control Conference, 2018

Hierarchical Optimization for Building Energy Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

On Consensus-Disagreement Tradeoff in Distributed Optimization.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Deep Learning for Automated Occlusion Edge Detection in RGB-D Frames.
J. Signal Process. Syst., 2017

LLNet: A deep autoencoder approach to natural low-light image enhancement.
Pattern Recognit., 2017

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks.
CoRR, 2017

Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes.
CoRR, 2017

Interpretable Deep Learning applied to Plant Stress Phenotyping.
CoRR, 2017

Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean.
CoRR, 2017

Collaborative Deep Learning in Fixed Topology Networks.
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.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Data-driven root-cause analysis for distributed system anomalies.
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
A composite discretization scheme for symbolic identification of complex systems.
Signal Process., 2016

Path planning in GPS-denied environments via collective intelligence of distributed sensor networks.
Int. J. Control, 2016

Deep Action Sequence Learning for Causal Shape Transformation.
CoRR, 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

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

Optimal design flow of CMOS doubler-based rectifiers.
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

Topology control in mobile sensor networks using information space feedback.
Proceedings of the 2016 American Control Conference, 2016

Scalable supervisory control of building energy systems using generalized gossip.
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

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

On distributed optimization using generalized gossip.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

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

Event-Triggered Decision Propagation in Proximity Networks.
Frontiers Robotics AI, 2014

Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks.
CoRR, 2014

2013
Distributed decision propagation in mobile-agent proximity networks.
Int. J. Control, 2013

Spatiotemporal information fusion for fault detection in shipboard auxiliary systems.
Proceedings of the American Control Conference, 2013

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

Optimization of symbolic feature extraction for pattern classification.
Signal Process., 2012

Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines.
Proceedings of the American Control Conference, 2012

Distributed decision propagation in mobile agent networks.
Proceedings of the American Control Conference, 2012

2010
Distributed decision propagation in mobile agent networks.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Critical phenomena and finite-size scaling in communication networks?
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

Generalization of Hilbert transform for symbolic analysis of noisy signals.
Signal Process., 2009

Statistical estimation of multiple parameters via symbolic dynamic filtering.
Signal Process., 2009

Suboptimal partitioning of time-series data for anomaly detection.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Estimation of multiple faults in aircraft gas-turbine engines.
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

Symbolic analysis of time series signals using generalized Hilbert transform.
Proceedings of the American Control Conference, 2009

2008
Fault diagnosis and isolation in aircraft gas turbine engines.
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

Estimation of multiple parameters in dynamical systems.
Proceedings of the American Control Conference, 2008

Symbolic identification and anomaly detection in complex dynamical systems.
Proceedings of the American Control Conference, 2008


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