• A. Thin, Y. Janati El Idrissi, S. Le Corff, C. Ollion, E. Moulines, A. Doucet, A. Durmus, C. P. Robert. “NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform”, Thirty-fifth Conference on Neural Information Processing Systems, 2021. (PDF)(Code)

  • A. Thin, N. Kotelevskii, A. Doucet, A. Durmus, E. Moulines, E. Panov. “Monte Carlo Variational Auto-Encoders”, Proceedings of the 38th International Conference on Machine Learning, 2021. (PDF)(Code)

  • G. Ciraolo, A. Thin, H. Bufferand, J. Bucalossi, N. Fedorczak, JP. Gunn, JY. Pascal, P. Tamain, C. Gil, A. Gouin, O. Meyer, P. Devynck, S. Vartanian, CC. Klepper, E. Serre, F. Nespoli, A. Gallo, Y. Marandet, J. Rosato. “First modeling of strongly radiating WEST plasmas with SOLEDGE-EIRENE”, Nuclear Materials and Energy 20, 2018. (PDF)


Pre prints

  • E. Lagutin, D. Selikhanovych, A. Thin, S. Samsonov, A. Naumov, D. Belomestny, M. Panov, E. Moulines. “Ex²MCMC: Sampling through Exploration Exploitation”, 2021. (PDF)

  • A. Thin, N. Kotelevskii, C. Andrieu, A. Durmus, E. Moulines, M. Panov. “Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees”, 2020. (PDF)

  • A. Thin, N. Kotelevskii, JS. Denain, L. Grinsztajn, A. Durmus, M. Panov, E. Moulines. “MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference”, 2020. (PDF)


Master Thesis

  • A. Thin. “A Bayesian non-parametric methodology for inferring grammar complexity”. Master Thesis w. Robin Ryder and Judith Rousseau, 2019 (PDF)
  • A. Thin. “Study of the WEST Tokamak at high density regimes”. Master Thesis, 2018 (PDF)