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Dive into the research topics where Alain Durmus is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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The exponential turnpike phenomenon for mean field game systems: Weakly monotone drifts and small interactions
Cecchin, A., Conforti, G., Durmus, A. & Eichinger, K., 1 Jan 2026, In: Electronic Journal of Probability. 31, 31.Research output: Contribution to journal › Article › peer-review
Open Access -
A Mixture-Based Framework for Guiding Diffusion Models
Janati, Y., Moufad, B., El Qassime, M. A., Durmus, A., Moulines, E. & Olsson, J., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 26830-26876 47 p.Research output: Contribution to journal › Conference article › peer-review
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Bridging diffusion posterior sampling and Monte Carlo methods: a survey
Janati, Y., Moulines, E., Olsson, J. & Oliviero-Durmus, A., 19 Jun 2025, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 383, 2299, 20240331.Research output: Contribution to journal › Review article › peer-review
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Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
Bertazzi, A., Johnston, T., Roberts, G. O. & Durmus, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 3931-3951 21 p.Research output: Contribution to journal › Conference article › peer-review
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Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions
Pham, L. T. N., Shariatian, D., Ocello, A., Conforti, G. & Durmus, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 49195-49258 64 p.Research output: Contribution to journal › Conference article › peer-review
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Finite-Time High-Probability Bounds for Polyak–Ruppert Averaged Iterates of Linear Stochastic Approximation
Durmus, A., Moulines, E., Naumov, A. & Samsonov, S., 1 May 2025, In: Mathematics of Operations Research. 50, 2, p. 935-964 30 p.Research output: Contribution to journal › Article › peer-review
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Generative modelling meets Bayesian inference: a new paradigm for inverse problems
Oliviero-Durmus, A., Janati, Y., Moulines, E., Pereyra, M. & Reich, S., 19 Jun 2025, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 383, 2299, 20240334.Research output: Contribution to journal › Review article › peer-review
Open Access -
HEAVY-TAILED DIFFUSION WITH DENOISING LÉVY PROBABILISTIC MODELS
Shariatian, D., Simsekli, U. & Durmus, A., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 79853-79886 34 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Integrating FedDRL for Efficient Vehicular Communication in Smart Cities
Mancini, L., Labbi, S., Meraim, K. A., Boukhalfa, F., Durmus, A., Mangold, P. & Moulines, E., 1 Jan 2025, Lecture Notes in Intelligent Transportation and Infrastructure. Springer Nature, p. 431-450 20 p. (Lecture Notes in Intelligent Transportation and Infrastructure; vol. Part F99).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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KL Convergence Guarantees for Score Diffusion Models under Minimal Data Assumptions
Conforti, G., Durmus, A. & Silveri, M. G., 1 Jan 2025, In: SIAM Journal on Mathematics of Data Science. 7, 1, p. 86-109 24 p.Research output: Contribution to journal › Article › peer-review
Open Access