| Probing transfer learning with a model of synthetic correlated datasets | 0 | 0.34 | 2022 |
| Solvable Model for Inheriting the Regularization through Knowledge Distillation. | 0 | 0.34 | 2021 |
| The Spiked Matrix Model With Generative Priors | 0 | 0.34 | 2021 |
| Large deviations in the perceptron model and consequences for active learning. | 0 | 0.34 | 2021 |
| Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed | 0 | 0.34 | 2021 |
| An Alternating Projection-Image Domains Algorithm for Spectral CT | 0 | 0.34 | 2020 |
| Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning | 0 | 0.34 | 2020 |
| Phase retrieval in high dimensions: Statistical and computational phase transitions | 0 | 0.34 | 2020 |
| Large deviations for the perceptron model and consequences for active learning | 0 | 0.34 | 2020 |
| Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization | 0 | 0.34 | 2020 |
| Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval | 0 | 0.34 | 2020 |
| Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions | 0 | 0.34 | 2020 |
| Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification* | 0 | 0.34 | 2020 |
| Multilayer Modularity Belief Propagation To Assess Detectability Of Community Structure | 0 | 0.34 | 2020 |
| Exact asymptotics for phase retrieval and compressed sensing with random generative priors | 0 | 0.34 | 2020 |
| The spiked matrix model with generative priors. | 0 | 0.34 | 2019 |
| Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. | 2 | 0.38 | 2019 |
| Passed & Spurious: Descent Algorithms and Local Minima in Spiked Matrix-Tensor Models. | 0 | 0.34 | 2019 |
| Blind Calibration For Sparse Regression: A State Evolution Analysis | 0 | 0.34 | 2019 |
| On the Universality of Noiseless Linear Estimation with Respect to the Measurement Matrix. | 1 | 0.35 | 2019 |
| Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models | 0 | 0.34 | 2019 |
| Generalisation dynamics of online learning in over-parameterised neural networks. | 1 | 0.35 | 2019 |
| Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. | 0 | 0.34 | 2019 |
| High-temperature expansions and message passing algorithms | 0 | 0.34 | 2019 |
| Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method. | 1 | 0.36 | 2018 |
| Approximate Survey Propagation for Statistical Inference. | 1 | 0.36 | 2018 |
| Optimal Errors And Phase Transitions In High-Dimensional Generalized Linear Models | 6 | 0.48 | 2018 |
| On Minimal Sets to Destroy the k-Core in Random Networks. | 0 | 0.34 | 2018 |
| Approximate message-passing for convex optimization with non-separable penalties. | 1 | 0.35 | 2018 |
| Typology of phase transitions in Bayesian inference problems. | 2 | 0.37 | 2018 |
| On the glassy nature of the hard phase in inference problems. | 0 | 0.34 | 2018 |
| Entropy and mutual information in models of deep neural networks. | 5 | 0.40 | 2018 |
| The committee machine: Computational to statistical gaps in learning a two-layers neural network. | 2 | 0.37 | 2018 |
| Information-theoretic thresholds from the cavity method. | 0 | 0.34 | 2017 |
| Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing. | 1 | 0.35 | 2017 |
| Decoding from Pooled Data: Phase Transitions of Message Passing. | 5 | 0.50 | 2017 |
| Phase transitions in the $q$-coloring of random hypergraphs. | 0 | 0.34 | 2017 |
| Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. | 8 | 0.58 | 2017 |
| Constrained Low-rank Matrix Estimation: Phase Transitions, Approximate Message Passing and Applications. | 6 | 0.55 | 2017 |
| Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering | 2 | 0.37 | 2016 |
| Fast And Simple Decycling And Dismantling Of Networks | 11 | 0.59 | 2016 |
| Fast Randomized Semi-Supervised Clustering. | 0 | 0.34 | 2016 |
| Network dismantling. | 13 | 0.63 | 2016 |
| Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. | 16 | 0.85 | 2016 |
| Mutual information in rank-one matrix estimation | 18 | 0.94 | 2016 |
| Phase diagram of matrix compressed sensing. | 3 | 0.40 | 2016 |
| Spectral Detection in the Censored Block Model. | 16 | 0.75 | 2015 |
| Swept Approximate Message Passing for Sparse Estimation | 11 | 0.60 | 2015 |
| Statistical physics of inference: Thresholds and algorithms | 27 | 1.21 | 2015 |
| Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation | 5 | 0.41 | 2015 |
