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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 2020Show all

2 papers · 1 filter

physics.pop-ph2020

The Story of Airplane Wings

Sam Greydanus

The purpose of this work is to explain how wings work and how they were invented. We use the lens of history, looking at the individual people who wanted to fly, the lens of techno…

cs.LG2020★ 65 cited

Lagrangian Neural Networks

Miles Cranmer, Sam Greydanus, Stephan Hoyer +3

Accurate models of the world are built upon notions of its underlying symmetries. In physics, these symmetries correspond to conservation laws, such as for energy and momentum. Yet…

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