Marc Mézard - RankMe

70 papers A* 3B 2Misc 1Journal 59Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Biased Generalization in Diffusion Models. CoRR Jerome Garnier-Brun, Luca Biggio, Davide Beltrame, Marc Mézard, Luca Saglietti
2026	J	`jnl`	Kernel Density Estimators in Large Dimensions. SIAM J. Math. Data Sci. Giulio Biroli, Marc Mézard
2026	J	`jnl`	Theory of Speciation Transitions in Diffusion Models with General Class Structure. CoRR Beatrice Achilli, Marco Benedetti, Giulio Biroli, Marc Mézard
2025	J	`jnl`	Are Neural Networks Collision Resistant? CoRR Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc Mézard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
2025	J	`jnl`	Are Neural Networks Collision Resistant? IACR Cryptol. ePrint Arch. Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc Mézard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
2025	J	`jnl`	Dynamical Learning in Deep Asymmetric Recurrent Neural Networks. CoRR Davide Badalotti, Carlo Baldassi, Marc Mézard, Mattia Scardecchia, Riccardo Zecchina
2025	A*	`conf`	How Transformers Learn Structured Data: Insights From Hierarchical Filtering. ICML Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca Saglietti
2025	J	`jnl`	Optimizing Noise Schedules of Generative Models in High Dimensionss. CoRR Santiago Aranguri, Giulio Biroli, Marc Mézard, Eric Vanden-Eijnden
2025	J	`jnl`	Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations. CoRR Krunoslav Lehman Pavasovic, Jakob Verbeek, Giulio Biroli, Marc Mézard
2025	J	`jnl`	Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training. CoRR Tony Bonnaire, Raphaël Urfin, Giulio Biroli, Marc Mézard
2024	J	`jnl`	Dynamical Regimes of Diffusion Models. CoRR Giulio Biroli, Tony Bonnaire, Valentin De Bortoli, Marc Mézard
2024	J	`jnl`	How transformers learn structured data: insights from hierarchical filtering. CoRR Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca Saglietti
2024	J	`jnl`	Kernel Density Estimators in Large Dimensions. CoRR Giulio Biroli, Marc Mézard
2023	J	`jnl`	Eigenvector Dreaming. CoRR Marco Benedetti, Louis Carillo, Enzo Marinari, Marc Mézard
2023	J	`jnl`	Sparse Representations, Inference and Learning. CoRR Clarissa Lauditi, Emanuele Troiani, Marc Mézard
2023	J	`jnl`	The Decimation Scheme for Symmetric Matrix Factorization. CoRR Francesco Camilli, Marc Mézard
2023	J	`jnl`	The Exponential Capacity of Dense Associative Memories. CoRR Carlo Lucibello, Marc Mézard
2022	J	`jnl`	Matrix factorization with neural networks. CoRR Francesco Camilli, Marc Mézard
2021	J	`jnl`	Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	A*	`conf`	Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	J	`jnl`	Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising. CoRR Antoine Maillard, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2021	—	`conf`	The Gaussian equivalence of generative models for learning with shallow neural networks. MSML Sebastian Goldt, Bruno Loureiro, Galen Reeves, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2020	J	`jnl`	Epidemic mitigation by statistical inference from contact tracing data. CoRR 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
2020	A*	`conf`	Generalisation error in learning with random features and the hidden manifold model. ICML Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2020	J	`jnl`	Generalisation error in learning with random features and the hidden manifold model. CoRR Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2020	J	`jnl`	The Gaussian equivalence of generative models for learning with two-layer neural networks. CoRR Sebastian Goldt, Galen Reeves, Marc Mézard, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	High-temperature Expansions and Message Passing Algorithms. CoRR Antoine Maillard, Laura Foini, Alejandro Lage Castellanos, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2019	J	`jnl`	Modelling the influence of data structure on learning in neural networks. CoRR Sebastian Goldt, Marc Mézard, Florent Krzakala, Lenka Zdeborová
2017	J	`jnl`	Multi-Layer Generalized Linear Estimation. CoRR Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2017	B	`conf`	Multi-layer generalized linear estimation. ISIT Andre Manoel, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2016	J	`jnl`	Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization. IEEE Trans. Inf. Theory Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
2014	J	`jnl`	Dynamic message-passing equations for models with unidirectional dynamics. CoRR Andrey Y. Lokhov, Marc Mézard, Lenka Zdeborová
2014	J	`jnl`	Phase transitions and sample complexity in Bayes-optimal matrix factorization. CoRR Yoshiyuki Kabashima, Florent Krzakala, Marc Mézard, Ayaka Sakata, Lenka Zdeborová
2014	J	`jnl`	Reweighted Belief Propagation and Quiet Planting for Random K-SAT. J. Satisf. Boolean Model. Comput. Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	J	`jnl`	Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing CoRR Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	Misc	`conf`	Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing. ICASSP Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	J	`jnl`	Inferring the origin of an epidemy with dynamic message-passing algorithm CoRR Andrey Y. Lokhov, Marc Mézard, Hiroki Ohta, Lenka Zdeborová
2013	J	`jnl`	Non-adaptive pooling strategies for detection of rare faulty items CoRR Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	—	`conf`	Non-adaptive pooling strategies for detection of rare faulty items. ICC Workshops Pan Zhang, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	J	`jnl`	Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning CoRR Florent Krzakala, Marc Mézard, Lenka Zdeborová
2013	B	`conf`	Phase diagram and approximate message passing for blind calibration and dictionary learning. ISIT Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	J	`jnl`	Belief Propagation Reconstruction for Discrete Tomography CoRR Emmanuelle Gouillart, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	J	`jnl`	Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction CoRR Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	—	`conf`	Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction. Allerton Conference Jean Barbier, Florent Krzakala, Marc Mézard, Lenka Zdeborová
2012	J	`jnl`	Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices CoRR Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
2011	J	`jnl`	Group Testing With Random Pools: Optimal Two-Stage Algorithms. IEEE Trans. Inf. Theory Marc Mézard, Cristina Toninelli
2011	J	`jnl`	Special Section on Constraint Satisfaction Problems and Message Passing Algorithms. SIAM J. Discret. Math. Marc Mézard, Prasad Tetali
2011	J	`jnl`	Statistical physics-based reconstruction in compressed sensing CoRR Florent Krzakala, Marc Mézard, François Sausset, Yifan Sun, Lenka Zdeborová
2009	J	`jnl`	Decimation flows in constraint satisfaction problems CoRR Saburo Higuchi, Marc Mézard
2009	J	`jnl`	Susceptibility Propagation for Constraint Satisfaction Problems CoRR Saburo Higuchi, Marc Mézard
2008	J	`jnl`	Constraint satisfaction problems with isolated solutions are hard CoRR Lenka Zdeborová, Marc Mézard
2008	J	`jnl`	Hard constraint satisfaction problems CoRR Lenka Zdeborová, Marc Mézard
2008	J	`jnl`	Pairs of SAT-assignments in random Boolean formulæ. Theor. Comput. Sci. Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina
2007	J	`jnl`	Group Testing with Random Pools: optimal two-stage algorithms CoRR Marc Mézard, Cristina Toninelli
2006	—	`ch.`	Constraint Satisfaction by Survey Propagation. Computational Complexity and Statistical Physics Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina
2006	J	`jnl`	Geometrical organization of solutions to random linear Boolean equations CoRR Thierry Mora, Marc Mézard
2006	J	`jnl`	The number of matchings in random graphs CoRR Lenka Zdeborová, Marc Mézard
2006	J	`jnl`	Threshold values of random Random Struct. Algorithms Stephan Mertens, Marc Mézard, Riccardo Zecchina
2005	J	`jnl`	Clustering of solutions in the random satisfiability problem CoRR Marc Mézard, Thierry Mora, Riccardo Zecchina
2005	J	`jnl`	Landscape of solutions in constraint satisfaction problems CoRR Marc Mézard, Matteo Palassini, Olivier Rivoire
2005	J	`jnl`	Pairs of SAT Assignment in Random Boolean Formulae CoRR Hervé Daudé, Marc Mézard, Thierry Mora, Riccardo Zecchina
2005	J	`jnl`	Survey propagation: An algorithm for satisfiability. Random Struct. Algorithms Alfredo Braunstein, Marc Mézard, Riccardo Zecchina
2005	J	`jnl`	The theoretical capacity of the Parity Source Coder CoRR Stefano Ciliberti, Marc Mézard
2003	J	`jnl`	Threshold values of Random K-SAT from the cavity method CoRR Stephan Mertens, Marc Mézard, Riccardo Zecchina
2002	J	`jnl`	Alternative solutions to diluted p-spin models and XORSAT problems CoRR Marc Mézard, Federico Ricci-Tersenghi, Riccardo Zecchina
2002	J	`jnl`	Constraint Satisfaction by Survey Propagation CoRR Alfredo Braunstein, Marc Mézard, Martin Weigt, Riccardo Zecchina
2002	J	`jnl`	Survey propagation: an algorithm for satisfiability CoRR Alfredo Braunstein, Marc Mézard, Riccardo Zecchina
1992	J	`jnl`	On The Mean Field Theory of Random Heteropolymers. Int. J. Neural Syst. Silvio Franz, Marc Mézard, Giorgio Parisi
1989	—	`conf`	Learning algorithms in neural networks: recent results. NATO Neurocomputing Marc Mézard
1988	J	`jnl`	Basins of Attraction in a Perception-like Neural Network. Complex Syst. Werner Krauth, Marc Mézard, Jean-Pierre Nadal