| Automatic Bitcoin Address Clustering D Ermilov, M Panov, Y Yanovich IEEE International Conference on Machine Learning and Applications (ICMLA …, 2017 | 173 | 2017 |
| Gtapprox: Surrogate modeling for industrial design M Belyaev, E Burnaev, E Kapushev, M Panov, P Prikhodko, D Vetrov, ... Advances in Engineering Software 102, 29-39, 2016 | 69 | 2016 |
| Dropout-based active learning for regression E Tsymbalov, M Panov, A Shapeev Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018 | 65 | 2018 |
| Adaptive design of experiments based on gaussian processes E Burnaev, M Panov International Symposium on Statistical Learning and Data Sciences, 116-125, 2015 | 61 | 2015 |
| Finite sample Bernstein–von Mises theorem for semiparametric problems M Panov, V Spokoiny Bayesian Analysis 10 (3), 665-710, 2015 | 55 | 2015 |
| How Certain is Your Transformer? A Shelmanov, E Tsymbalov, D Puzyrev, K Fedyanin, A Panchenko, ... EACL 2021, 2021 | 43 | 2021 |
| Regression on the basis of nonstationary Gaussian processes with Bayesian regularization EV Burnaev, ME Panov, AA Zaytsev Journal of Communications Technology and Electronics 61 (6), 661-671, 2016 | 43* | 2016 |
| 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 | 38 | 2021 |
| Tensor-train density estimation GS Novikov, ME Panov, IV Oseledets Uncertainty in artificial intelligence, 1321-1331, 2021 | 31 | 2021 |
| Uncertainty estimation of transformer predictions for misclassification detection A Vazhentsev, G Kuzmin, A Shelmanov, A Tsvigun, E Tsymbalov, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 29 | 2022 |
| Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning E Tsymbalov, S Makarychev, A Shapeev, M Panov International Joint Conference on Artificial Intelligence (IJCAI-19), 2019 | 27 | 2019 |
| Linking bank clients using graph neural networks powered by rich transactional data V Shumovskaia, K Fedyanin, I Sukharev, D Berestnev, M Panov International Journal of Data Science and Analytics 12 (2), 135-145, 2021 | 24 | 2021 |
| Consistent Estimation of Mixed Memberships with Successive Projections M Panov, K Slavnov, R Ushakov International Workshop on Complex Networks and their Applications, 53-64, 2017 | 23 | 2017 |
| Accuracy of Gaussian approximation for highdimensional posterior distributions V Spokoiny, M Panov Bernoulli. in print, 2021 | 22* | 2021 |
| Data-driven body-machine interface for drone intuitive control through voice and gestures A Menshchikov, D Ermilov, I Dranitsky, L Kupchenko, M Panov, ... IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 21 | 2019 |
| Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NY Kotelevskii, A Artemenkov, K Fedyanin, F Noskov, A Fishkov, ... Advances in Neural Information Processing Systems, 2022 | 19* | 2022 |
| Active learning for abstractive text summarization A Tsvigun, I Lysenko, D Sedashov, I Lazichny, E Damirov, V Karlov, ... Findings of the Association for Computational Linguistics: EMNLP 2022, 5128-5152, 2022 | 16 | 2022 |
| NCVis: noise contrastive approach for scalable visualization A Artemenkov, M Panov Proceedings of The Web Conference 2020, 2941-2947, 2020 | 16 | 2020 |
| Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension M Gomtsyan, N Mokrov, M Panov, Y Yanovich Asian Conference on Machine Learning, PMLR 101, 1126-1141, 2019 | 16 | 2019 |
| Inductive matrix completion with feature selection M Burkina, I Nazarov, M Panov, G Fedonin, B Shirokikh Computational Mathematics and Mathematical Physics 61 (5), 719-732, 2021 | 15* | 2021 |
Kirill FedyaninTII在 tii.ae 的电子邮件经过验证
