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1511.02476
Cited By
Statistical physics of inference: Thresholds and algorithms
8 November 2015
Lenka Zdeborová
Florent Krzakala
AI4CE
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Papers citing
"Statistical physics of inference: Thresholds and algorithms"
30 / 80 papers shown
Title
Reducibility and Statistical-Computational Gaps from Secret Leakage
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Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
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Maria Refinetti
Giulio Biroli
Florent Krzakala
98
152
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02 Mar 2020
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace
Bruno Loureiro
Florent Krzakala
M. Mézard
Lenka Zdeborová
25
166
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21 Feb 2020
Asymptotic errors for convex penalized linear regression beyond Gaussian matrices
Cédric Gerbelot
A. Abbara
Florent Krzakala
34
16
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11 Feb 2020
Intrinsic regularization effect in Bayesian nonlinear regression scaled by observed data
Satoru Tokuda
Kenji Nagata
M. Okada
26
1
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05 Jan 2020
Thresholds of descending algorithms in inference problems
Stefano Sarao Mannelli
Lenka Zdeborova
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24
4
0
02 Jan 2020
From complex to simple : hierarchical free-energy landscape renormalized in deep neural networks
H. Yoshino
22
6
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22 Oct 2019
Modelling the influence of data structure on learning in neural networks: the hidden manifold model
Sebastian Goldt
M. Mézard
Florent Krzakala
Lenka Zdeborová
BDL
29
51
0
25 Sep 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
29
136
0
26 Jul 2019
Understanding Phase Transitions via Mutual Information and MMSE
Galen Reeves
H. Pfister
22
7
0
03 Jul 2019
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon
Surya Ganguli
16
18
0
23 Oct 2018
Solving Statistical Mechanics Using Variational Autoregressive Networks
Dian Wu
Lei Wang
Pan Zhang
28
181
0
27 Sep 2018
Approximate Survey Propagation for Statistical Inference
F. Antenucci
Florent Krzakala
Pierfrancesco Urbani
Lenka Zdeborová
37
21
0
03 Jul 2018
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin
Antoine Maillard
Jean Barbier
Florent Krzakala
N. Macris
Lenka Zdeborová
46
104
0
14 Jun 2018
Entropy and mutual information in models of deep neural networks
Marylou Gabrié
Andre Manoel
Clément Luneau
Jean Barbier
N. Macris
Florent Krzakala
Lenka Zdeborová
32
179
0
24 May 2018
Complex energy landscapes in spiked-tensor and simple glassy models: ruggedness, arrangements of local minima and phase transitions
V. Ros
Gerard Ben Arous
Giulio Biroli
C. Cammarota
17
102
0
08 Apr 2018
Notes on computational-to-statistical gaps: predictions using statistical physics
Afonso S. Bandeira
Amelia Perry
Alexander S. Wein
AI4CE
25
57
0
29 Mar 2018
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
Marco Baity-Jesi
Levent Sagun
Mario Geiger
S. Spigler
Gerard Ben Arous
C. Cammarota
Yann LeCun
M. Wyart
Giulio Biroli
AI4CE
42
113
0
19 Mar 2018
Thermodynamics of Restricted Boltzmann Machines and related learning dynamics
A. Decelle
G. Fissore
Cyril Furtlehner
AI4CE
33
42
0
05 Mar 2018
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
Charles H. Martin
Michael W. Mahoney
AI4CE
30
62
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26 Oct 2017
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Jean Barbier
Florent Krzakala
N. Macris
Léo Miolane
Lenka Zdeborová
37
260
0
10 Aug 2017
Evaluating Ising Processing Units with Integer Programming
Carleton Coffrin
Harsha Nagarajan
R. Bent
27
20
0
02 Jul 2017
Bayesian stochastic blockmodeling
Tiago P. Peixoto
19
198
0
29 May 2017
Statistical and computational phase transitions in spiked tensor estimation
T. Lesieur
Léo Miolane
Marc Lelarge
Florent Krzakala
Lenka Zdeborová
31
116
0
27 Jan 2017
Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications
T. Lesieur
Florent Krzakala
Lenka Zdeborová
37
124
0
03 Jan 2017
Statistical limits of spiked tensor models
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
24
77
0
22 Dec 2016
An Evolutionary Strategy based on Partial Imitation for Solving Optimization Problems
M. A. Javarone
17
7
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12 Feb 2016
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning
Florent Krzakala
M. Mézard
Lenka Zdeborová
75
37
0
24 Jan 2013
Hiding Quiet Solutions in Random Constraint Satisfaction Problems
Florent Krzakala
Lenka Zdeborová
67
110
0
14 Jan 2009
A Spectral Approach to Analyzing Belief Propagation for 3-Coloring
A. Coja-Oghlan
Elchanan Mossel
Dan Vilenchik
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02 Dec 2007
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