Florent Krzakala
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F. Krzakala
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Spectral Method for Multiplexed Phase Retrieval and Application in Optical Imaging in Complex Media
Decoding from Pooled Data: Sharp Information-Theoretic Bounds
Estimation in the Spiked Wigner Model: A Short Proof of the Replica Formula
Scaling Up Echo-State Networks With Multiple Light Scattering
The Mutual Information in Random Linear Estimation Beyond i.i.d. Matrices
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing
Approximate Message-Passing Decoder and Capacity Achieving Sparse Superposition Codes
Decoding from pooled data: Phase transitions of message passing
Multi-layer generalized linear estimation
Statistical and computational phase transitions in spiked tensor estimation
Performance Limits for Noisy Multimeasurement Vector Problems
Fast Phase Retrieval for High Dimensions: A Block-Based Approach
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines
Mutual information in rank-one matrix estimation
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering
The mutual information in random linear estimation
Clustering from sparse pairwise measurements
Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach
Random projections through multiple optical scattering: Approximating Kernels at the speed of light
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel
Spectral detection on sparse hypergraphs
Phase transitions in sparse PCA
Spectral detection in the censored block model
Adaptive damping and mean removal for the generalized approximate message passing algorithm
Phase recovery from a Bayesian point of view: The variational approach
Spectral density of the non-backtracking operator on random graphs
On convergence of approximate message passing
Replica analysis and approximate message passing decoder for superposition codes
Variational free energies for compressed sensing
Spectral redemption in clustering sparse networks
Robust error correction for real-valued signals via message-passing decoding and spatial coupling
Phase diagram and approximate message passing for blind calibration and dictionary learning
Non-adaptive pooling strategies for detection of rare faulty items
Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing
Fragility and hysteretic creep in frictional granular jamming
Belief-propagation reconstruction for discrete tomography
The quantum adiabatic algorithm applied to random optimization problems: The quantum spin glass perspective
Compressed sensing of approximately-sparse signals: Phase transitions and optimal reconstruction
Statistical-Physics-Based Reconstruction in Compressed Sensing
Following Gibbs states adiabatically —The energy landscape of mean-field glassy systems
Inference in particle tracking experiments by passing messages between images
Energy gaps in quantum first-order mean-field–like transitions: The problems that quantum annealing cannot solve
Constraint optimisation and landscapes
Potts glass on random graphs
Phase transitions and computational difficulty in random constraint satisfaction problems
Spin glass models with ferromagnetically biased couplings onthe Bethe lattice: analytic solutions and numerical simulations
Energy exponents and corrections to scaling in Ising spin glasses
Course 14: Hiking through Glassy Phases: Physics beyond Aging
Absence of an Equilibrium Ferromagnetic Spin-Glass Phase in Three Dimensions
The secondary structure of RNA under tension
Chaotic temperature dependence in a model of spin glasses
Nature of the glassy phase of RNA secondary structure
Zero-Temperature Responses of a 3D Spin Glass in a Magnetic Field
Large-scale low-energy excitations in 3-d spin glasses
Spin and Link Overlaps in Three-Dimensional Spin Glasses
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