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Articles by
Antoine Maillard
Injectivity of ReLU networks: perspectives from statistical physics
12 December 2024 by
Antoine Maillard
and
others
Disordered Systems and Neural Networks
,
Machine Learning
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
24 October 2024 by
Vittorio Erba
and
others
Disordered Systems and Neural Networks
,
Machine Learning
Average-case matrix discrepancy: satisfiability bounds
23 October 2024 by
Antoine Maillard
Probability
,
Disordered Systems and Neural Networks
Fitting an ellipsoid to a quadratic number of random points
2 October 2024 by
Afonso Bandeira
and
others
Probability
,
Data Structures and Algorithms
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
7 August 2024 by
Antoine Maillard
and
others
at
Sorbonne Université
Machine Learning
,
Disordered Systems and Neural Networks
Fitting an ellipsoid to random points: predictions using the replica method
12 June 2024 by
Antoine Maillard
and
Dmitriy Kunisky
Disordered Systems and Neural Networks
,
Statistical Mechanics
The committee machine: Computational to statistical gaps in learning a two-layers neural network
29 February 2024 by
Benjamin Aubin
and
others
Machine Learning
,
Disordered Systems and Neural Networks
Exact threshold for approximate ellipsoid fitting of random points
9 October 2023 by
Antoine Maillard
and
Afonso Bandeira
Probability
,
Disordered Systems and Neural Networks
Antigen rapid tests, nasopharyngeal PCR and saliva PCR to detect SARS-CoV-2: a prospective comparative clinical trial
24 February 2023 by
J. -M. Schwob
and
others
Infectious Diseases
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions
19 November 2022 by
Afonso Bandeira
and
others
Statistics Theory
,
Numerical Analysis
Phase Retrieval: From Computational Imaging to Machine Learning
14 November 2022 by
Jonathan Dong
and
others
Optics
A remark on Kashin's discrepancy argument and partial coloring in the Komlós conjecture
25 August 2022 by
Afonso Bandeira
and
others
Combinatorics
,
Discrete Mathematics
Optimal denoising of rotationally invariant rectangular matrices
15 March 2022 by
Emanuele Troiani
and
others
Disordered Systems and Neural Networks
,
Statistical Mechanics
Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising
2 February 2022 by
Antoine Maillard
and
others
Disordered Systems and Neural Networks
,
Statistical Mechanics
The general impact of haploinsufficiency on brain connectivity underlies the pleiotropic effect of neuropsychiatric CNVs
27 April 2021 by
Clment Moreau
and
others
Genetic and Genomic Medicine
Construction of optimal spectral methods in phase retrieval
20 April 2021 by
Antoine Maillard
and
others
Information Theory
,
Disordered Systems and Neural Networks
Performances of NeuMoDx, a random-access system for HBV-DNA and HCV-RNA quantification
6 March 2021 by
J. Besombes
and
others
Microbiology
Large deviations of extreme eigenvalues of generalized sample covariance matrices
8 February 2021 by
Antoine Maillard
Statistical Mechanics
,
Disordered Systems and Neural Networks
A Genetics-First Approach to Dissecting the Heterogeneity of Autism: Phenotypic Comparison of Autism Risk Copy Number Variants
1 January 2021 by
S. Chawner
and
others
at
Cardiff University
Psychiatry and Clinical Psychology
Phase retrieval in high dimensions: Statistical and computational phase transitions
23 October 2020 by
Antoine Maillard
and
others
Statistics Theory
,
Disordered Systems and Neural Networks
Landscape Complexity for the Empirical Risk of Generalized Linear Models
25 May 2020 by
Antoine Maillard
and
others
Machine Learning
,
Disordered Systems and Neural Networks
High-temperature Expansions and Message Passing Algorithms
29 September 2019 by
Antoine Maillard
and
others
Disordered Systems and Neural Networks
,
Statistical Mechanics
The spiked matrix model with generative priors
30 May 2019 by
Benjamin Aubin
and
others
Statistics Theory
,
Machine Learning
A Quantum Monte Carlo algorithm for out-of-equilibrium Green's functions at long times
29 March 2019 by
Corentin Bertrand
and
others
Strongly Correlated Electrons
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices
15 November 2018 by
Jean Barbier
and
others
Information Theory
,
Mathematical Physics
Near-forward Raman selection rules of the phonon-polariton created by alloying in (Zn,Be)Se
3 March 2016 by
H. Dicko
and
others
Materials Science
Islands of stability and recurrence times in AdS
27 August 2015 by
Stephen Green
and
others
General Relativity and Quantum Cosmology
,
High Energy Physics