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Establishing Deep InfoMax as an effective self-supervised learning
  methodology in materials informatics

Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics

30 June 2024
Michael Moran
Vladimir V. Gusev
M. Gaultois
Dmytro Antypov
M. Rosseinsky
    AI4CE
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Papers citing "Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics"

3 / 3 papers shown
Title
Beyond Normal: On the Evaluation of Mutual Information Estimators
Beyond Normal: On the Evaluation of Mutual Information Estimators
Paweł Czyż
Frederic Grabowski
Julia E. Vogt
N. Beerenwinkel
Alexander Marx
26
32
0
19 Jun 2023
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
41
55
0
18 Feb 2022
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
212
232
0
12 Oct 2021
1