59 results on '"Marc Mézard"'
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2. Kernel Density Estimators in Large Dimensions.
3. Dynamical Regimes of Diffusion Models.
4. The Exponential Capacity of Dense Associative Memories.
5. The Decimation Scheme for Symmetric Matrix Factorization.
6. Sparse Representations, Inference and Learning.
7. Eigenvector Dreaming.
8. Learning curves of generic features maps for realistic datasets with a teacher-student model.
9. The Gaussian equivalence of generative models for learning with shallow neural networks.
10. Generalisation error in learning with random features and the hidden manifold model.
11. Matrix factorization with neural networks.
12. Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model.
13. Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising.
14. Multi-layer generalized linear estimation.
15. Generalisation error in learning with random features and the hidden manifold model.
16. The Gaussian equivalence of generative models for learning with two-layer neural networks.
17. Epidemic mitigation by statistical inference from contact tracing data.
18. Modelling the influence of data structure on learning in neural networks.
19. High-temperature Expansions and Message Passing Algorithms.
20. Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization.
21. Non-adaptive pooling strategies for detection of rare faulty items.
22. Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing.
23. Phase diagram and approximate message passing for blind calibration and dictionary learning.
24. Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction.
25. Reweighted Belief Propagation and Quiet Planting for Random K-SAT.
26. Multi-Layer Generalized Linear Estimation.
27. Group Testing With Random Pools: Optimal Two-Stage Algorithms.
28. Pairs of SAT-assignments in random Boolean formulæ.
29. Threshold values of random K-SAT from the cavity method.
30. Survey propagation: An algorithm for satisfiability.
31. Special Section on Constraint Satisfaction Problems and Message Passing Algorithms.
32. Phase transitions and sample complexity in Bayes-optimal matrix factorization.
33. Dynamic message-passing equations for models with unidirectional dynamics.
34. Inferring the origin of an epidemy with dynamic message-passing algorithm
35. Compressed Sensing under Matrix Uncertainty: Optimum Thresholds and Robust Approximate Message Passing
36. Non-adaptive pooling strategies for detection of rare faulty items
37. Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning
38. Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction
39. Belief Propagation Reconstruction for Discrete Tomography
40. Probabilistic Reconstruction in Compressed Sensing: Algorithms, Phase Diagrams, and Threshold Achieving Matrices
41. Statistical physics-based reconstruction in compressed sensing
42. On The Mean Field Theory of Random Heteropolymers.
43. Susceptibility Propagation for Constraint Satisfaction Problems
44. Decimation flows in constraint satisfaction problems
45. Constraint satisfaction problems with isolated solutions are hard
46. Hard constraint satisfaction problems
47. Group Testing with Random Pools: optimal two-stage algorithms
48. The number of matchings in random graphs
49. Geometrical organization of solutions to random linear Boolean equations
50. The theoretical capacity of the Parity Source Coder
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