Maxim Panov
Maxim Panov
Assistant Professor at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Verified email at
Cited by
Cited by
Automatic Bitcoin Address Clustering
D Ermilov, M Panov, Y Yanovich
IEEE International Conference on Machine Learning and Applications (ICMLA …, 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
Adaptive design of experiments based on gaussian processes
E Burnaev, M Panov
International Symposium on Statistical Learning and Data Sciences, 116-125, 2015
Dropout-based active learning for regression
E Tsymbalov, M Panov, A Shapeev
Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018
Finite sample Bernstein–von Mises theorem for semiparametric problems
M Panov, V Spokoiny
Bayesian Analysis 10 (3), 665-710, 2015
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
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
How Certain is Your Transformer?
A Shelmanov, E Tsymbalov, D Puzyrev, K Fedyanin, A Panchenko, ...
EACL 2021, 2021
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
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
Tensor-train density estimation
GS Novikov, ME Panov, IV Oseledets
Uncertainty in artificial intelligence, 1321-1331, 2021
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, 135-145, 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
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
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
Accuracy of Gaussian approximation in nonparametric Bernstein--von Mises Theorem
V Spokoiny, M Panov
arXiv preprint arXiv:1910.06028, 2019
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
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
Modeling of nonstationary covariance function of gaussian process using decomposition in dictionary of nonlinear functions
E Burnaev, A Zaytsev, M Panov, P Prihodko, Y Yanovich
Information Technologies and Systems–2011, 2-7, 2011
Dropout strikes back: Improved uncertainty estimation via diversity sampling
K Fedyanin, E Tsymbalov, M Panov
International Conference on Analysis of Images, Social Networks and Texts …, 2021
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