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Machine learning in and out of equilibrium

Machine learning in and out of equilibrium

6 June 2023
Shishir Adhikari
Alkan Kabakcciouglu
A. Strang
Deniz Yuret
M. Hinczewski
ArXivPDFHTML

Papers citing "Machine learning in and out of equilibrium"

4 / 4 papers shown
Title
Weight fluctuations in (deep) linear neural networks and a derivation of
  the inverse-variance flatness relation
Weight fluctuations in (deep) linear neural networks and a derivation of the inverse-variance flatness relation
Markus Gross
A. Raulf
Christoph Räth
38
0
0
23 Nov 2023
Generative learning for nonlinear dynamics
Generative learning for nonlinear dynamics
William Gilpin
AI4CE
PINN
60
24
0
07 Nov 2023
Stochastic Thermodynamics of Learning Parametric Probabilistic Models
Stochastic Thermodynamics of Learning Parametric Probabilistic Models
S. Parsi
42
0
0
04 Oct 2023
Minibatch training of neural network ensembles via trajectory sampling
Minibatch training of neural network ensembles via trajectory sampling
Jamie F. Mair
Luke Causer
J. P. Garrahan
12
0
0
23 Jun 2023
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