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1301.7115
Cited By
Statistical mechanics of complex neural systems and high dimensional data
30 January 2013
Madhu S. Advani
Subhaneil Lahiri
Surya Ganguli
AI4CE
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Papers citing
"Statistical mechanics of complex neural systems and high dimensional data"
30 / 30 papers shown
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p-Adic Statistical Field Theory and Deep Belief Networks
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Beyond neural scaling laws: beating power law scaling via data pruning
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Robert Geirhos
Shashank Shekhar
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Ari S. Morcos
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29 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models
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E. Peters
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Stefan M. Wild
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277
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Dynamic mean field programming
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252
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0
10 Jun 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks
Shaun Li
AI4CE
256
1
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03 Jan 2022
Taxonomizing local versus global structure in neural network loss landscapes
Neural Information Processing Systems (NeurIPS), 2021
Yaoqing Yang
Liam Hodgkinson
Ryan Theisen
Joe Zou
Joseph E. Gonzalez
Kannan Ramchandran
Michael W. Mahoney
408
46
0
23 Jul 2021
Out-of-Distribution Generalization in Kernel Regression
Neural Information Processing Systems (NeurIPS), 2021
Abdulkadir Canatar
Blake Bordelon
Cengiz Pehlevan
OODD
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253
21
0
04 Jun 2021
An Introduction to Johnson-Lindenstrauss Transforms
Casper Benjamin Freksen
181
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28 Feb 2021
Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Kernel Renormalization
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H. Sompolinsky
546
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Triple descent and the two kinds of overfitting: Where & why do they appear?
Stéphane dÁscoli
Levent Sagun
Giulio Biroli
341
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05 Jun 2020
Untangling in Invariant Speech Recognition
Neural Information Processing Systems (NeurIPS), 2020
Cory Stephenson
J. Feather
Suchismita Padhy
Oguz H. Elibol
Hanlin Tang
Josh H. McDermott
SueYeon Chung
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386
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03 Mar 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
International Conference on Machine Learning (ICML), 2020
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
577
162
0
02 Mar 2020
Generalisation error in learning with random features and the hidden manifold model
International Conference on Machine Learning (ICML), 2020
Federica Gerace
Bruno Loureiro
Florent Krzakala
M. Mézard
Lenka Zdeborová
414
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21 Feb 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
255
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11 Feb 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
International Conference on Machine Learning (ICML), 2020
Blake Bordelon
Abdulkadir Canatar
Cengiz Pehlevan
981
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07 Feb 2020
Mean-field inference methods for neural networks
Marylou Gabrié
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421
37
0
03 Nov 2019
The many faces of deep learning
Raul Vicente
FedML
AI4CE
115
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25 Aug 2019
Interpretable deep Gaussian processes with moments
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Chi-Ken Lu
Scott Cheng-Hsin Yang
Xiaoran Hao
Patrick Shafto
318
19
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27 May 2019
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon
Surya Ganguli
244
23
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23 Oct 2018
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
453
975
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23 Mar 2018
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning
Yao Zhang
Andrew M. Saxe
Madhu S. Advani
A. Lee
219
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05 Mar 2018
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
Charles H. Martin
Michael W. Mahoney
AI4CE
267
65
0
26 Oct 2017
High-dimensional dynamics of generalization error in neural networks
Madhu S. Advani
Andrew M. Saxe
AI4CE
392
521
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10 Oct 2017
Random projections of random manifolds
Subhaneil Lahiri
P. Gao
Surya Ganguli
253
9
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14 Jul 2016
Statistical Mechanics of High-Dimensional Inference
Madhu S. Advani
Surya Ganguli
405
56
0
18 Jan 2016
Linear Readout of Object Manifolds
SueYeon Chung
Daniel D. Lee
H. Sompolinsky
250
44
0
06 Dec 2015
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