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On the correspondence between thermodynamics and inference
v1v2v3v4v5 (latest)

On the correspondence between thermodynamics and inference

5 June 2017
Colin H. LaMont
Paul A. Wiggins
ArXiv (abs)PDFHTML

Papers citing "On the correspondence between thermodynamics and inference"

15 / 15 papers shown
Title
Structural Inference: Interpreting Small Language Models with Susceptibilities
Structural Inference: Interpreting Small Language Models with Susceptibilities
Garrett Baker
George Wang
Jesse Hoogland
Daniel Murfet
AAML
157
1
0
25 Apr 2025
Emergence of Computational Structure in a Neural Network Physics Simulator
Emergence of Computational Structure in a Neural Network Physics Simulator
Rohan Hitchcock
Gary W. Delaney
J. Manton
Richard Scalzo
Jingge Zhu
63
0
0
16 Apr 2025
Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
Max Hennick
Stijn De Baerdemacker
82
0
0
28 Mar 2025
Laws of thermodynamics for exponential families
Akshay Balsubramani
43
0
0
03 Jan 2025
Thermodynamic Bayesian Inference
Thermodynamic Bayesian Inference
Maxwell Aifer
Samuel Duffield
Kaelan Donatella
Denis Melanson
Phoebe Klett
Zach Belateche
Gavin Crooks
Antonio J. Martinez
Patrick J. Coles
69
4
0
02 Oct 2024
Entropy, concentration, and learning: a statistical mechanics primer
Entropy, concentration, and learning: a statistical mechanics primer
Akshay Balsubramani
AI4CE
61
1
0
27 Sep 2024
Estimating the Local Learning Coefficient at Scale
Estimating the Local Learning Coefficient at Scale
Zach Furman
Edmund Lau
65
3
0
06 Feb 2024
The most likely common cause
The most likely common cause
A. Hovhannisyan
A. Allahverdyan
CML
13
1
0
30 Jun 2023
Learning Capacity: A Measure of the Effective Dimensionality of a Model
Learning Capacity: A Measure of the Effective Dimensionality of a Model
Daiwei Chen
Wei-Di Chang
Pratik Chaudhari
70
4
0
27 May 2023
Marginal likelihood computation for model selection and hypothesis
  testing: an extensive review
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
F. Llorente
Luca Martino
D. Delgado
J. Lopez-Santiago
105
85
0
17 May 2020
Observational nonidentifiability, generalized likelihood and free energy
Observational nonidentifiability, generalized likelihood and free energy
A. Allahverdyan
10
2
0
18 Feb 2020
Intrinsic regularization effect in Bayesian nonlinear regression scaled
  by observed data
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data
Satoru Tokuda
Kenji Nagata
M. Okada
155
1
0
05 Jan 2020
On the complexity of logistic regression models
On the complexity of logistic regression models
Nicola Bulso
M. Marsili
Y. Roudi
31
15
0
01 Mar 2019
A scaling law from discrete to continuous solutions of channel capacity
  problems in the low-noise limit
A scaling law from discrete to continuous solutions of channel capacity problems in the low-noise limit
Michael C. Abbott
B. Machta
44
6
0
25 Oct 2017
The geometry of sloppiness
The geometry of sloppiness
Emilie Dufresne
Heather A. Harrington
D. Raman
165
11
0
19 Aug 2016
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