# Florent Krzakala

### Latest

- 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
- Detection limits in the spiked Wigner model
- 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
- Computation Science
- Fundamentals of inference and learning EE-411
- ML & AI pour la physique et les physiciens
- Numerical Physics and Machine Learning
- 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
- Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines
- 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
- Robust Phase Retrieval with the Swept Approximate Message Passing (prSAMP) Algorithm
- Statistical physics of inference: thresholds and algorithms
- Approximate message passing with restricted Boltzmann machine priors
- Scampi: a robust approximate message-passing framework for compressive imaging
- 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
- Approximate message-passing with spatially coupled structured operators, with applications to compressed sensing and sparse superposition codes
- Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques
- Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
- Training Restricted Boltzmann Machine via the ￼Thouless-Anderson-Palmer free energy
- Reweighted Belief Propagation and Quiet Planting for Random K-SAT
- Belief-propagation-guided Monte-Carlo sampling
- 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
- On the relation between kinetically constrained models of glass dynamics and the random first-order transition theory
- The nature of the different zero-temperature phases in discrete two-dimensional spin glasses: entropy, universality, chaos and cascades in the renormalization group flow
- 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
- Habilitation Thesis: On some problems of statistical physics of disordered systems
- 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
- First-Order Transitions and the Performance of Quantum Algorithms in Random Optimization Problems
- Quantum Annealing of Hard Problems
- Jamming versus Glass Transitions
- Hiding Quiet Solutions in Random Constraint Satisfaction Problems
- Lattice Model for Colloidal Gels and Glasses
- Path-integral representation for quantum spin models: Application to the quantum cavity method and Monte Carlo simulations
- Simple Glass Models and Their Quantum Annealing
- Landscape analysis of constraint satisfaction problems
- Critical ageing of Ising ferromagnets relaxing from an ordered state
- Aging, memory and rejuvenation: some lessons from simple models
- Thesis: Aspects géométriques et paysage d'énergie des verres de spins: étude d'un système désordonné et frustré en dimension finie