Marc Mézard

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 19

Top Topics

Sample Complexity

Learning Curves

Message Passing

Diffusion Models

Top Venues

IEEE Trans. Inf. Theory

Publications

Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard
Dynamical Regimes of Diffusion Models. CoRR (2024)
Francesco Camilli, Marc Mézard
The Decimation Scheme for Symmetric Matrix Factorization. CoRR (2023)
Carlo Lucibello, Marc Mézard
The Exponential Capacity of Dense Associative Memories. CoRR (2023)
Clarissa Lauditi, Emanuele Troiani, Marc Mézard
Sparse Representations, Inference and Learning. CoRR (2023)
Marco Benedetti, Louis Carillo, Enzo Marinari, Marc Mézard
Eigenvector Dreaming. CoRR (2023)
Francesco Camilli, Marc Mézard
Matrix factorization with neural networks. CoRR (2022)
Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala, Marc Mézard, Lenka Zdeborová
The Gaussian equivalence of generative models for learning with shallow neural networks. MSML (2021)
Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising. CoRR (2021)
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS (2021)
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR (2021)
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
Epidemic mitigation by statistical inference from contact tracing data. CoRR (2020)
Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová
The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR (2020)
Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Generalisation error in learning with random features and the hidden manifold model. ICML (2020)
Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Generalisation error in learning with random features and the hidden manifold model. CoRR (2020)
Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová
High-temperature Expansions and Message Passing Algorithms. CoRR (2019)
Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová
Modelling the influence of data structure on learning in neural networks. CoRR (2019)
Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Multi-layer generalized linear estimation. ISIT (2017)
Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Multi-Layer Generalized Linear Estimation. CoRR (2017)
Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization. IEEE Trans. Inf. Theory 62 (7) (2016)
Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
Phase transitions and sample complexity in Bayes-optimal matrix factorization. CoRR (2014)
Andrey Y. Lokhov, Marc Mézard, Lenka Zdeborová
Dynamic message-passing equations for models with unidirectional dynamics. CoRR (2014)
Florent Krzakala, Marc Mézard, Lenka Zdeborová
Reweighted Belief Propagation and Quiet Planting for Random K-SAT. J. Satisf. Boolean Model. Comput. 8 (3/4) (2014)
Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Non-adaptive pooling strategies for detection of rare faulty items. ICC Workshops (2013)
Florent Krzakala, Marc Mézard, Lenka Zdeborová
Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing CoRR (2013)
Florent Krzakala, Marc Mézard, Lenka Zdeborová
Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing. ICASSP (2013)
Florent Krzakala, Marc Mézard, Lenka Zdeborová
Phase diagram and approximate message passing for blind calibration and dictionary learning. ISIT (2013)
Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Non-adaptive pooling strategies for detection of rare faulty items CoRR (2013)
Florent Krzakala, Marc Mézard, Lenka Zdeborová
Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning CoRR (2013)
Andrey Y. Lokhov, Marc Mézard, Hiroki Ohta, Lenka Zdeborová
Inferring the origin of an epidemy with dynamic message-passing algorithm CoRR (2013)
Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction CoRR (2012)
Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference (2012)
Emmanuelle Gouillart, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Belief Propagation Reconstruction for Discrete Tomography CoRR (2012)
Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices CoRR (2012)
Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
Statistical physics-based reconstruction in compressed sensing CoRR (2011)
Marc Mézard, Prasad Tetali
Special Section on Constraint Satisfaction Problems and Message Passing Algorithms. SIAM J. Discret. Math. 25 (2) (2011)
Marc Mézard, Cristina Toninelli
Group Testing With Random Pools: Optimal Two-Stage Algorithms. IEEE Trans. Inf. Theory 57 (3) (2011)
Saburo Higuchi, Marc Mézard
Susceptibility Propagation for Constraint Satisfaction Problems CoRR (2009)
Saburo Higuchi, Marc Mézard
Decimation flows in constraint satisfaction problems CoRR (2009)
Lenka Zdeborová, Marc Mézard
Constraint satisfaction problems with isolated solutions are hard CoRR (2008)
Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina
Pairs of SAT-assignments in random Boolean formulæ. Theor. Comput. Sci. 393 (1-3) (2008)
Lenka Zdeborová, Marc Mézard
Hard constraint satisfaction problems CoRR (2008)
Marc Mézard, Cristina Toninelli
Group Testing with Random Pools: optimal two-stage algorithms CoRR (2007)
Thierry Mora, Marc Mézard
Geometrical organization of solutions to random linear Boolean equations CoRR (2006)
Lenka Zdeborová, Marc Mézard
The number of matchings in random graphs CoRR (2006)
Stephan Mertens, Marc Mézard, Riccardo Zecchina
-SAT from the cavity method. Random Struct. Algorithms 28 (3) (2006)
Alfredo Braunstein, Marc Mézard, Riccardo Zecchina
Survey propagation: An algorithm for satisfiability. Random Struct. Algorithms 27 (2) (2005)
Stefano Ciliberti, Marc Mézard
The theoretical capacity of the Parity Source Coder CoRR (2005)
Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina
Pairs of SAT Assignment in Random Boolean Formulae CoRR (2005)
Marc Mézard, Thierry Mora, Riccardo Zecchina
Clustering of solutions in the random satisfiability problem CoRR (2005)
Marc Mézard, Matteo Palassini, Olivier Rivoire
Landscape of solutions in constraint satisfaction problems CoRR (2005)
Stephan Mertens, Marc Mézard, Riccardo Zecchina
Threshold values of Random K-SAT from the cavity method CoRR (2003)
Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina
Constraint Satisfaction by Survey Propagation CoRR (2002)
Marc Mézard, Federico Ricci-Tersenghi, Riccardo Zecchina
Alternative solutions to diluted p-spin models and XORSAT problems CoRR (2002)
Alfredo Braunstein, Marc Mézard, Riccardo Zecchina
Survey propagation: an algorithm for satisfiability CoRR (2002)
Silvio Franz, Marc Mézard, Giorgio Parisi
On The Mean Field Theory of Random Heteropolymers. Int. J. Neural Syst. 3 (Supplement) (1992)
Marc Mézard
Learning algorithms in neural networks: recent results. NATO Neurocomputing (1989)
Werner Krauth, Marc Mézard, Jean-Pierre Nadal
Basins of Attraction in a Perception-like Neural Network. Complex Syst. 2 (4) (1988)