jean barbier
8 papers · 2016–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (2) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14)
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Keyword Pioneer
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Hot Topic Early Bird
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The Questioner
Conferences
NIPS (6)
COLT (2)
Top co-authors
Keywords
approximate message passing
(5)
mutual information
(4)
phase transition
(4)
generalization error
(2)
sparse learning
(1)
high-dimensional inference
(1)
neural network theory
(1)
high-dimensional statistics
(1)
matrix perturbation
(1)
asymptotic analysis
(1)
message passing
(1)
signal reconstruction
(1)
mean-square error
(1)
matrix estimation
(1)
generalized linear model
(1)
low-rank matrix estimation
(1)
mean square error
(1)
structured noise
(1)
committee machine
(1)
rank-one matrix
(1)
Papers
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
COLT 2025
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
NIPS 2022
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
NIPS 2020
Information theoretic limits of learning a sparse rule
NIPS 2020
The committee machine: Computational to statistical gaps in learning a two-layers neural network
NIPS 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
COLT 2018
Entropy and mutual information in models of deep neural networks
NIPS 2018
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
NIPS 2016