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1905.12385
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The spiked matrix model with generative priors
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
29 May 2019
Benjamin Aubin
Bruno Loureiro
Antoine Maillard
Florent Krzakala
Lenka Zdeborová
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Papers citing
"The spiked matrix model with generative priors"
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Generalized Eigenvalue Problems with Generative Priors
Neural Information Processing Systems (NeurIPS), 2024
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Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models
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Asymptotic generalization error of a single-layer graph convolutional network
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06 Feb 2024
Neural-prior stochastic block model
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17 Mar 2023
Spatially heterogeneous learning by a deep student machine
Physical Review Research (Phys. Rev. Res.), 2023
H. Yoshino
284
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15 Feb 2023
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Neural Information Processing Systems (NeurIPS), 2023
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Justin Ko
Florent Krzakala
226
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13 Feb 2023
Deterministic equivalent and error universality of deep random features learning
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Hugo Cui
Daniil Dmitriev
Bruno Loureiro
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267
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01 Feb 2023
Detection problems in the spiked matrix models
Ji Hyung Jung
Hye Won Chung
J. Lee
272
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12 Jan 2023
On double-descent in uncertainty quantification in overparametrized models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
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467
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23 Oct 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
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329
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29 Jun 2022
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
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Luca Pesce
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
307
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26 May 2022
Generative Principal Component Analysis
International Conference on Learning Representations (ICLR), 2022
Zhaoqiang Liu
Jiulong Liu
Subhro Ghosh
Jun Han
Jonathan Scarlett
223
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18 Mar 2022
Theoretical characterization of uncertainty in high-dimensional linear classification
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Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
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07 Feb 2022
Deep learning via message passing algorithms based on belief propagation
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Fabrizio Pittorino
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Graph-based Approximate Message Passing Iterations
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Raphael Berthier
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Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Joshua K. Behne
Galen Reeves
180
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22 Jun 2021
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
455
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21 Dec 2020
Statistical and computational thresholds for the planted
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International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Luca Corinzia
Paolo Penna
Wojtek Szpankowski
J. M. Buhmann
334
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23 Nov 2020
Replica Analysis of the Linear Model with Markov or Hidden Markov Signal Priors
Lan V. Truong
413
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28 Sep 2020
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors
Paul Hand
Oscar Leong
V. Voroninski
202
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24 Aug 2020
Large deviations of extreme eigenvalues of generalized sample covariance matrices
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74
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21 Aug 2020
The Gaussian equivalence of generative models for learning with shallow neural networks
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Bruno Loureiro
Galen Reeves
Florent Krzakala
M. Mézard
Lenka Zdeborová
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413
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25 Jun 2020
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola
Paul Hand
V. Voroninski
323
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14 Jun 2020
Information-Theoretic Limits for the Matrix Tensor Product
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332
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Gordon Wetzstein
228
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14 Feb 2020
Exact asymptotics for phase retrieval and compressed sensing with random generative priors
Mathematical and Scientific Machine Learning (MSML), 2019
Benjamin Aubin
Bruno Loureiro
Antoine Baker
Florent Krzakala
Lenka Zdeborová
274
39
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04 Dec 2019
Mean-field inference methods for neural networks
Marylou Gabrié
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364
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03 Nov 2019
Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019
Jean Barbier
111
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15 Jul 2019
Inverting Deep Generative models, One layer at a time
Neural Information Processing Systems (NeurIPS), 2019
Qi Lei
A. Jalal
Inderjit S. Dhillon
A. Dimakis
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18 Jun 2019
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