Monte Carlo variational auto-encoders A Thin, N Kotelevskii, A Doucet, A Durmus, E Moulines, M Panov International Conference on Machine Learning, 10247-10257, 2021 | 39 | 2021 |
Fedpop: A bayesian approach for personalised federated learning N Kotelevskii, M Vono, A Durmus, E Moulines Advances in Neural Information Processing Systems 35, 8687-8701, 2022 | 29 | 2022 |
Nonparametric uncertainty quantification for single deterministic neural network N Kotelevskii, A Artemenkov, K Fedyanin, F Noskov, A Fishkov, ... Advances in Neural Information Processing Systems 35, 36308-36323, 2022 | 22* | 2022 |
MetFlow: a new efficient method for bridging the gap between Markov chain Monte Carlo and variational inference A Thin, N Kotelevskii, JS Denain, L Grinsztajn, A Durmus, M Panov, ... arXiv preprint arXiv:2002.12253, 2020 | 16 | 2020 |
Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees A Thin, N Kotelevskii, C Andrieu, A Durmus, E Moulines, M Panov arXiv preprint arXiv:2012.15550, 2020 | 6 | 2020 |
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules N Kotelevskii, M Panov arXiv preprint arXiv:2402.10727, 2024 | 3 | 2024 |
Dirichlet-based uncertainty quantification for personalized federated learning with improved posterior networks N Kotelevskii, S Horváth, K Nandakumar, M Takáč, M Panov arXiv preprint arXiv:2312.11230, 2023 | 3 | 2023 |
Metropolized flow: from invertible flow to mcmc A Thin, N Kotelevskii, A Durmus, M Panov, E Moulines Proceedings of the ICML Workshop on Invertible Neural Networks, Normalizing …, 2020 | 3 | 2020 |
Efficient Conformal Prediction under Data Heterogeneity V Plassier, N Kotelevskii, A Rubashevskii, F Noskov, M Velikanov, ... International Conference on Artificial Intelligence and Statistics, 4879-4887, 2024 | 1 | 2024 |
Learning Confident Classifiers in the Presence of Label Noise AA Hashmi, A Zhumabayeva, N Kotelevskii, A Agafonov, M Yaqub, ... arXiv preprint arXiv:2301.00524, 2023 | | 2023 |
Predictive Uncertainties Based on Proper Scoring Rules N Kotelevskii, M Panov ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0 | | |