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Learning inducing points and uncertainty on molecular data by scalable
  variational Gaussian processes

Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes

16 July 2022
Mikhail Tsitsvero
Mingoo Jin
Andrey Lyalin
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Papers citing "Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes"

2 / 2 papers shown
Title
Learning in High Dimension Always Amounts to Extrapolation
Learning in High Dimension Always Amounts to Extrapolation
Randall Balestriero
J. Pesenti
Yann LeCun
41
103
0
18 Oct 2021
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
89
72
0
29 Sep 2021
1