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Arindam Chowdhury

14 papers hereh-index 8375 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author4

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • eess.SP5
  • cs.CV3
  • cs.LG2
  • cs.CL1
  • cs.IT1
  • eess.IV1
same name
  • Arindam Chowdhury — 2 papers, h 28
  • Arindam Chowdhury — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedChartNet: Visual Reasoning over Statistical Charts using MAC-Networks

16 citations · 18 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.IT2021

ML-aided power allocation for Tactical MIMO

Arindam Chowdhury, Gunjan Verma, Chirag Rao +2

We study the problem of optimal power allocation in single-hop multi-antenna ad-hoc wireless networks. A standard technique to solve this problem involves optimizing a tri-convex f…

cs.LG2021

Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels

Artun Bayer, Arindam Chowdhury, Santiago Segarra

Graph neural networks (GNNs) have achieved superior performance on node classification tasks in the last few years. Commonly, this is framed in a transductive semi-supervised learn…

eess.SP2021

Stability Analysis of Unfolded WMMSE for Power Allocation

Arindam Chowdhury, Fernando Gama, Santiago Segarra

Power allocation is one of the fundamental problems in wireless networks and a wide variety of algorithms address this problem from different perspectives. A common element among t…

cs.LG2021

GIST: Distributed Training for Large-Scale Graph Convolutional Networks

Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury +4

The graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the num…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.