MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference. - Achille Thin; Nikita Kotelevskii; Jean-Stanislas Denain; Léo Grinsztajn; Alain Durmus; Maxim Panov; Eric Moulines (CoRR, 2020)

Monte Carlo Variational Auto-Encoders. - Achille Thin; Nikita Kotelevskii; Arnaud Doucet; Alain Durmus; Eric Moulines; Maxim Panov (ICML, 2021)

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform. - Achille Thin; Yazid Janati El Idrissi; Sylvain Le Corff; Charles Ollion; Eric Moulines; Arnaud Doucet; Alain Durmus; Christian X. Robert (NeurIPS, 2021)

Ex2MCMC: Sampling through Exploration Exploitation. - Evgeny Lagutin; Daniil Selikhanovych; Achille Thin; Sergey Samsonov; Alexey Naumov; Denis Belomestny; Maxim Panov; Eric Moulines (CoRR, 2021)

BR-SNIS: Bias Reduced Self-Normalized Importance Sampling. - Gabriel Cardoso 001; Sergey Samsonov; Achille Thin; Eric Moulines; Jimmy Olsson (NeurIPS, 2022)