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cs.LG2022
Langevin algorithms for very deep Neural Networks with application to image classification
Pierre Bras
Training a very deep neural network is a challenging task, as the deeper a neural network is, the more non-linear it is. We compare the performances of various preconditioned Lange…
math.PR2022
Convergence of Langevin-Simulated Annealing algorithms with multiplicative noise II: Total Variation
Pierre Bras, Gilles Pagès
We study the convergence of Langevin-Simulated Annealing type algorithms with multiplicative noise, i.e. for a potential function to minimize, we…