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The Backtracking Survey Propagation Algorithm for Solving Random K-SAT Problems., , and . CoRR, (2015)Phase transitions in the mini-batch size for sparse and dense two-layer neural networks., and . Mach. Learn. Sci. Technol., 5 (1): 15015 (March 2024)Complex Recurrent Spectral Network., , , , and . CoRR, (2023)Revisiting the Challenges of MaxClique., and . CoRR, (2018)Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization., , , , , , , , , and . CoRR, (2021)Solving non-linear Kolmogorov equations in large dimensions by using deep learning: a numerical comparison of discretization schemes., and . CoRR, (2020)A Short Review on Novel Approaches for Maximum Clique Problem: from Classical algorithms to Graph Neural Networks and Quantum algorithms., , and . CoRR, (2024)Stochastic Gradient Descent-like relaxation is equivalent to Glauber dynamics in discrete optimization and inference problems., , , and . CoRR, (2023)Phase transitions in the mini-batch size for sparse and dense neural networks., and . CoRR, (2023)Learning from survey propagation: a neural network for MAX-E-3-SAT.. Mach. Learn. Sci. Technol., 2 (3): 35032 (September 2021)