Maxim Panov

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	All	Since 2020
Citations	1355	1158
h-index	22	20
i10-index	34	33

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Artem ShelmanovMBZUAIVerified email at mbzuai.ac.ae
Alexander PanchenkoAssociate Professor for NLP at Skoltech, AIRIVerified email at skol.tech
Kirill FedyaninTIIVerified email at tii.ae
Nikita KotelevskiiSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Evgenii TsymbalovApptekVerified email at apptek.com
Artem VazhentsevPhD student at Skoltech, Researcher at AIRIVerified email at airi.net
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Akim TsvigunSenior ML Architect @ Nebius AIVerified email at airi.net
Alexander FishkovSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Timothy BaldwinMBZUAI and The University of MelbourneVerified email at unimelb.edu.au
Evgeny BurnaevSkoltech, Full Professor, Head of Applied AI center, Head of research group, AIRIVerified email at skoltech.ru
Achille ThinAgroParisTechVerified email at polytechnique.edu
Yury YanovichSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Vladimir SpokoinyProfessor for Statistics, Humboldt University und WIAS BerlinVerified email at wias-berlin.de
Alain DurmusEcole polytechniqueVerified email at polytechnique.edu
Alexey ZaytsevAssociate professor at SkoltechVerified email at skoltech.ru
Aleksandr RubashevskiiMohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Mikhail Burtsev, Михаил БурцевLondon Institute for Mathematical Sciences, Royal InstitutionVerified email at lims.ac.uk
Fedor NoskovHSE UniversityVerified email at hse.ru
Valentina ShumovskaiaPhD, EPFLVerified email at epfl.ch

Maxim Panov

Assistant Professor at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Verified email at mbzuai.ac.ae

Machine Learning Statistics


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Automatic Bitcoin Address Clustering D Ermilov, M Panov, Y Yanovich IEEE International Conference on Machine Learning and Applications (ICMLA …, 2017	191	2017
Dropout-based active learning for regression E Tsymbalov, M Panov, A Shapeev Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018	79	2018
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	71	2016
Adaptive design of experiments based on gaussian processes E Burnaev, M Panov International Symposium on Statistical Learning and Data Sciences, 116-125, 2015	63	2015
Finite sample Bernstein–von Mises theorem for semiparametric problems M Panov, V Spokoiny Bayesian Analysis 10 (3), 665-710, 2015	63	2015
How Certain is Your Transformer? A Shelmanov, E Tsymbalov, D Puzyrev, K Fedyanin, A Panchenko, ... EACL 2021, 2021	52	2021
LM-Polygraph: Uncertainty Estimation for Language Models E Fadeeva, R Vashurin, A Tsvigun, A Vazhentsev, S Petrakov, K Fedyanin, ... EMNLP 2023, 446–461, 2023	50	2023
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	50	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	49	2022
Tensor-train density estimation GS Novikov, ME Panov, IV Oseledets Uncertainty in artificial intelligence, 1321-1331, 2021	44	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	44*	2016
Fact-checking the output of large language models via token-level uncertainty quantification E Fadeeva, A Rubashevskii, A Shelmanov, S Petrakov, H Li, H Mubarak, ... Findings of the Association for Computational Linguistics: ACL 2024, 9367–9385, 2024	38	2024
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	36*	2021
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	35*	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	30	2019
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	27	2019
Lipid alteration signature in the blood plasma of individuals with schizophrenia, depression, and bipolar disorder A Tkachev, E Stekolshchikova, A Vanyushkina, H Zhang, A Morozova, ... JAMA psychiatry 80 (3), 250-259, 2023	26	2023
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	24	2022
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 high-dimensional posterior distributions V Spokoiny, M Panov Bernoulli 31 (2), 843-867, 2025	22*	2025

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