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researcher

S. Greydanus

11 papers hereh-index 102.6k citations18 works total

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

author position
  • sole author3
  • first author3
  • middle author2
  • last author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.NE2
  • cs.AI1
  • cs.CE1
  • physics.pop-ph1

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedHamiltonian Neural Networks

447 citations · 803 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.CE2022

A Tutorial on Structural Optimization

Sam Greydanus

Structural optimization is a useful and interesting tool. Unfortunately, it can be hard for new researchers to get started on the topic because existing tutorials assume the reader…

cs.LG2022★ 17 cited

Dissipative Hamiltonian Neural Networks: Learning Dissipative and Conservative Dynamics Separately

Andrew Sosanya, Sam Greydanus

Understanding natural symmetries is key to making sense of our complex and ever-changing world. Recent work has shown that neural networks can learn such symmetries directly from d…

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