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2302.07754
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SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers
15 February 2023
Michael R. Maser
Ji Won Park
J. Lin
Jae Hyeon Lee
Nathan C. Frey
Andrew Watkins
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Papers citing
"SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers"
5 / 5 papers shown
Title
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models
Michael R. Maser
Natasa Tagasovska
Jae Hyeon Lee
Andrew Watkins
31
0
0
20 Jun 2023
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
40
33
0
29 Sep 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
75
211
0
23 Jun 2022
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
164
678
0
10 Oct 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
162
1,766
0
02 Mar 2017
1