Publications

Pierre Bras, Gilles Pagès (2022). Langevin algorithms for Markovian Neural Networks and Deep Stochastic control. In arXiv e-prints.

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Pierre Bras (2022). Langevin algorithms for very deep Neural Networks with applications to image classification. In arXiv e-prints.

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Pierre Bras (2022). A note on $L^1$-Convergence of the Empiric Minimizer for unbounded functions with fast growth. In arXiv e-prints.

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Pierre Bras, Gilles Pagès, Fabien Panloup (2021). Total variation distance between two diffusions in small time with unbounded drift: application to the Euler-Maruyama scheme. In Electron. J. Probab. 27, 1-19 (2022).

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Pierre Bras, Gilles Pagès (2021). Convergence of Langevin-Simulated Annealing algorithms with multiplicative noise II: Total Variation. In arXiv e-prints.

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Pierre Bras, Gilles Pagès (2021). Convergence of Langevin-Simulated Annealing algorithms with multiplicative noise . In arXiv e-prints.

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Pierre Bras, Arturo Kohatsu-Higa (2021). Simulation of Reflected Brownian motion on two dimensional wedges. In Stoch. Proc. and App. 156, 349-378 (2023).

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Pierre Bras (2021). Convergence rates of Gibbs measures with degenerate minimum. In Bernoulli 2022, Vol. 28, No. 4, 2431-2458.

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