Florent Krzakala
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Lenka Zdeborová
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Marvels and Pitfalls of the Langevin Algorithm in Noisy High-Dimensional Inference
On the universality of noiseless linear estimation with respect to the measurement matrix
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
The spiked matrix model with generative priors
Who is Afraid of Big Bad Minima? Analysis of Gradient-Flow in a Spiked Matrix-Tensor Model
The committee machine: computational to statistical gaps in learning a two-layers neural network
Entropy and mutual information in models of deep neural networks
High-temperature Expansions and Message Passing Algorithms
Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models
Optimal errors and phase transitions in high-dimensional generalized linear models
Approximate survey propagation for statistical inference
Information-theoretic thresholds from the cavity method
Fast Randomized Semi-Supervised Clustering
Entropy and mutual information in models of deep neural networks
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Constrained low-rank matrix estimation: phase transitions, approximate message passing and applications
Spectral bounds for the Ising ferromagnet on an arbitrary given graph
Statistical physics of inference: thresholds and algorithms
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
Statistical Physics, Optimization, Inference, and Message-Passing Algorithms: Lecture Notes of the Les Houches School of Physics: Special Issue, October 2013
Swept Approximate Message Passing for Sparse Estimation
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Reweighted Belief Propagation and Quiet Planting for Random K-SAT
Model selection for degree-corrected block models
Spectral Clustering of graphs with the Bethe Hessian
Performance of simulated annealing inp-spin glasses
The hard-core model on random graphs revisited
Blind Calibration in Compressed Sensing using Message Passing Algorithms
Comparative study for inference of hidden classes in stochastic block models
Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices
Following states in temperature in the sphericals p-spin glass model
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
Inference and Phase Transitions in the Detection of Modules in Sparse Networks
Random-fieldp-spin-glass model on regular random graphs
No spin glass phase in the ferromagnetic random-field random-temperature scalar Ginzburg–Landau model
On melting dynamics and the glass transition. I. Glassy aspects of melting dynamics
On melting dynamics and the glass transition. II. Glassy dynamics as a melting process
Quiet Planting in the Locked Constraint Satisfaction Problems
Generalization of the cavity method for adiabatic evolution of Gibbs states
Elusive Spin-Glass Phase in the Random Field Ising Model
Hiding Quiet Solutions in Random Constraint Satisfaction Problems
Lattice Model for Colloidal Gels and Glasses
Phase transitions in the coloring of random graphs
Gibbs states and the set of solutions of random constraint satisfaction problems
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