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One-loop diagrams in the Random Euclidean Matching Problem., , and . CoRR, (2016)Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery., , , , and . ITW, page 323-328. IEEE, (2023)Learning may need only a few bits of synaptic precision, , , , and . (2016)cite arxiv:1602.04129Comment: 38 pages (main text: 16 pages), 5 figures; http://link.aps.org/doi/10.1103/PhysRevE.93.052313.Entropic gradient descent algorithms and wide flat minima., , , , , , and . ICLR, OpenReview.net, (2021)Critical initialisation in continuous approximations of binary neural networks., , , , and . ICLR, OpenReview.net, (2020)Reconstruction of Pairwise Interactions using Energy-Based Models., and . CoRR, (2020)Generalized Approximate Survey Propagation for High-Dimensional Estimation., , and . CoRR, (2019)Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes, , , , , , and . (2016)cite arxiv:1605.06444Comment: 31 pages (14 main text, 18 appendix), 12 figures (6 main text, 6 appendix).Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems, , , , and . (2015)cite arxiv:1511.05634Comment: 46 pages (main text: 22), 7 figures. This is an author-created, un-copyedited version of an article published in Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/1742-5468/2016/02/023301.Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses, , , , and . (2015)cite arxiv:1509.05753Comment: 11 pages, 4 figures (main text: 5 pages, 3 figures; Supplemental Material: 6 pages, 1 figure).