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20162022
most citedRevisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays

26 citations · 39 across the 5 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

stat.ML2019

Fundamental Limits of Deep Graph Convolutional Networks

Abram Magner, Mayank Baranwal, Alfred O. Hero

Graph convolutional networks (GCNs) are a widely used method for graph representation learning. To elucidate the capabilities and limitations of GCNs, we investigate their power, a…

math.OC2019

Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach

Mayank Baranwal, Amber Srivastava, Srinivasa Salapaka

This work presents a maximum entropy principle based algorithm for solving minimum multiway -cut problem defined over static and dynamic {\em digraphs}. A multiway -cut probl…