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Bayesian Interpolation with Deep Linear Networks

Bayesian Interpolation with Deep Linear Networks

29 December 2022
Boris Hanin
Alexander Zlokapa
ArXivPDFHTML

Papers citing "Bayesian Interpolation with Deep Linear Networks"

7 / 7 papers shown
Title
Deep Neural Nets as Hamiltonians
Deep Neural Nets as Hamiltonians
Mike Winer
Boris Hanin
37
0
0
31 Mar 2025
Bayesian RG Flow in Neural Network Field Theories
Bayesian RG Flow in Neural Network Field Theories
Jessica N. Howard
Marc S. Klinger
Anindita Maiti
A. G. Stapleton
50
1
0
27 May 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics
  Theory of Transformers
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
Lorenzo Tiberi
Francesca Mignacco
Kazuki Irie
H. Sompolinsky
36
5
0
24 May 2024
Quantitative CLTs in Deep Neural Networks
Quantitative CLTs in Deep Neural Networks
Stefano Favaro
Boris Hanin
Domenico Marinucci
I. Nourdin
G. Peccati
BDL
15
10
0
12 Jul 2023
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
45
55
0
23 Feb 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1