L. Zdeborová | Florent Krzakala

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Decoding from Pooled Data: Sharp Information-Theoretic Bounds
Streaming Bayesian inference: Theoretical limits and mini-batch approximate message-passing
Decoding from pooled data: Phase transitions of message passing
Multi-layer generalized linear estimation
Statistical and computational phase transitions in spiked tensor estimation
Mutual information in rank-one matrix estimation
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering
Clustering from sparse pairwise measurements
Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization
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
Spectral density of the non-backtracking operator on random graphs
On convergence of approximate message passing
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
Belief-propagation reconstruction for discrete tomography
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
Potts glass on random graphs
Phase transitions and computational difficulty in random constraint satisfaction problems