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researcher

P. Seshaiyer

8 papers hereh-index 231.7k citations179 works total

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

author position
  • middle author3
  • last author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • math.NA5
  • cs.LG1
  • physics.soc-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20132025
most citedData-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks

14 citations · 22 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

physics.soc-ph2025

Mathematical Modeling, Analysis and Simulation Utilizing Machine Learning Tools for Assessing the Impact of Climate Lobbying

Andrew Jacoby, Samiran Ghosh, Malay Banerjee +2

Climate policy and legislation has a significant influence on both domestic and global responses to the pressing environmental challenges of our time. The effectiveness of such cli…

stat.ML2025

Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks

Petr Kisselev, Padmanabhan Seshaiyer

Graph convolutional neural networks (GCNs) have shown tremendous promise in addressing data-intensive challenges in recent years. In particular, some attempts have been made to imp…

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