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Detect the Interactions that Matter in Matter: Geometric Attention for
  Many-Body Systems
v1v2v3v4 (latest)

Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems

4 June 2021
Thorben Frank
Stefan Chmiela
ArXiv (abs)PDFHTML

Papers citing "Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems"

2 / 2 papers shown
From Peptides to Nanostructures: A Euclidean Transformer for Fast and
  Stable Machine Learned Force Fields
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields
J. Frank
Oliver T. Unke
Klaus-Robert Muller
Stefan Chmiela
252
3
0
21 Sep 2023
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional LayersInternational Conference on Learning Representations (ICLR), 2019
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
800
625
0
08 Nov 2019
1
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