Marc Mézard

According to our database, Marc Mézard authored at least 51 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

How transformers learn structured data: insights from hierarchical filtering.

Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca Saglietti

CoRR, 2024

Kernel Density Estimators in Large Dimensions.

Giulio Biroli, Marc Mézard

CoRR, 2024

Dynamical Regimes of Diffusion Models.

Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard

CoRR, 2024

2023

Eigenvector Dreaming.

Marco Benedetti, Louis Carillo, Enzo Marinari, Marc Mézard

CoRR, 2023

The Decimation Scheme for Symmetric Matrix Factorization.

Francesco Camilli, Marc Mézard

CoRR, 2023

Sparse Representations, Inference and Learning.

Clarissa Lauditi, Emanuele Troiani, Marc Mézard

CoRR, 2023

The Exponential Capacity of Dense Associative Memories.

Carlo Lucibello, Marc Mézard

CoRR, 2023

2022

Matrix factorization with neural networks.

Francesco Camilli, Marc Mézard

CoRR, 2022

2021

Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising.

Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová

CoRR, 2021

Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model.

Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová

CoRR, 2021

Learning curves of generic features maps for realistic datasets with a teacher-student model.

Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Gaussian equivalence of generative models for learning with shallow neural networks.

Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Epidemic mitigation by statistical inference from contact tracing data.

Antoine Baker, Indaco Biazzo, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Alessandro Ingrosso, Florent Krzakala, Fabio Mazza, Marc Mézard, Anna Paola Muntoni, Maria Refinetti, Stefano Sarao Mannelli, Lenka Zdeborová

CoRR, 2020

The Gaussian equivalence of generative models for learning with two-layer neural networks.

Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová

CoRR, 2020

Generalisation error in learning with random features and the hidden manifold model.

Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Modelling the influence of data structure on learning in neural networks.

Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová

CoRR, 2019

High-temperature Expansions and Message Passing Algorithms.

Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová

CoRR, 2019

2017

Multi-layer generalized linear estimation.

Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization.

Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová

IEEE Trans. Inf. Theory, 2016

2014

Reweighted Belief Propagation and Quiet Planting for Random K-SAT.

Florent Krzakala, Marc Mézard, Lenka Zdeborová

J. Satisf. Boolean Model. Comput., 2014

Dynamic message-passing equations for models with unidirectional dynamics.

Andrey Y. Lokhov, Marc Mézard, Lenka Zdeborová

CoRR, 2014

2013

Inferring the origin of an epidemy with dynamic message-passing algorithm

Andrey Y. Lokhov, Marc Mézard, Hiroki Ohta, Lenka Zdeborová

CoRR, 2013

Phase diagram and approximate message passing for blind calibration and dictionary learning.

Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Non-adaptive pooling strategies for detection of rare faulty items.

Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the IEEE International Conference on Communications, 2013

Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing.

Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Belief Propagation Reconstruction for Discrete Tomography

Emmanuelle Gouillart, Florent Krzakala, Marc Mézard, Lenka Zdeborová

CoRR, 2012

Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices

Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová

CoRR, 2012

Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction.

Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Group Testing With Random Pools: Optimal Two-Stage Algorithms.

Marc Mézard, Cristina Toninelli

IEEE Trans. Inf. Theory, 2011

Special Section on Constraint Satisfaction Problems and Message Passing Algorithms.

Marc Mézard, Prasad Tetali

SIAM J. Discret. Math., 2011

Statistical physics-based reconstruction in compressed sensing

Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová

CoRR, 2011

2009

Decimation flows in constraint satisfaction problems

Saburo Higuchi, Marc Mézard

CoRR, 2009

Susceptibility Propagation for Constraint Satisfaction Problems

Saburo Higuchi, Marc Mézard

CoRR, 2009

2008

Pairs of SAT-assignments in random Boolean formulæ.

Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina

Theor. Comput. Sci., 2008

Constraint satisfaction problems with isolated solutions are hard

Lenka Zdeborová, Marc Mézard

CoRR, 2008

Hard constraint satisfaction problems

Lenka Zdeborová, Marc Mézard

CoRR, 2008

2006

Threshold values of random <i>K</i>-SAT from the cavity method.

Stephan Mertens, Marc Mézard, Riccardo Zecchina

Random Struct. Algorithms, 2006

Geometrical organization of solutions to random linear Boolean equations

Thierry Mora, Marc Mézard

CoRR, 2006

The number of matchings in random graphs

Lenka Zdeborová, Marc Mézard

CoRR, 2006

Constraint Satisfaction by Survey Propagation.

Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina

Proceedings of the Computational Complexity and Statistical Physics., 2006

2005

Survey propagation: An algorithm for satisfiability.

Alfredo Braunstein, Marc Mézard, Riccardo Zecchina

Random Struct. Algorithms, 2005

Landscape of solutions in constraint satisfaction problems

Marc Mézard, Matteo Palassini, Olivier Rivoire

CoRR, 2005

The theoretical capacity of the Parity Source Coder

Stefano Ciliberti, Marc Mézard

CoRR, 2005

Pairs of SAT Assignment in Random Boolean Formulae

Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina

CoRR, 2005

Clustering of solutions in the random satisfiability problem

Marc Mézard, Thierry Mora, Riccardo Zecchina

CoRR, 2005

2003

Threshold values of Random K-SAT from the cavity method

Stephan Mertens, Marc Mézard, Riccardo Zecchina

CoRR, 2003

2002

Constraint Satisfaction by Survey Propagation

Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina

CoRR, 2002

Alternative solutions to diluted p-spin models and XORSAT problems

Marc Mézard, Federico Ricci-Tersenghi, Riccardo Zecchina

CoRR, 2002

1992

On The Mean Field Theory of Random Heteropolymers.

Silvio Franz, Marc Mézard, Giorgio Parisi

Int. J. Neural Syst., 1992

1989

Learning algorithms in neural networks: recent results.

Marc Mézard

Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

1988

Basins of Attraction in a Perception-like Neural Network.

Werner Krauth, Marc Mézard, Jean-Pierre Nadal

Complex Syst., 1988