Soumik Sarkar

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

2017 · arXiv (Cornell University)

We introduce a new, systematic framework for visualizing information flow in deep networks. Specifically, given any trained deep convolutional network model and a given test image, our method produces a compact support in the image …

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training

2020

Adoption of machine learning (ML)-enabled cyber-physical systems (CPS) are becoming prevalent in various sectors of modern society such as transportation, industrial, and power grids. Recent studies in deep reinforcement learning (DRL) have demonstrated its benefits …

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

2021

Multivariate time series modeling and prediction problems are abundant in many machine learning application domains. Accurate interpretation of the prediction outcomes from the model can significantly benefit the domain experts. In addition to isolating the …