Maxim Panov

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Citations	1181	1054
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i10-index	32	31

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Kirill FedyaninTIIVerified email at tii.ae
Artem ShelmanovMBZUAIVerified email at mbzuai.ac.ae
Alexander PanchenkoAssociate Professor for NLP at Skoltech, AIRIVerified email at skol.tech
Nikita KotelevskiiSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Evgenii TsymbalovApptekVerified email at apptek.com
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Artem VazhentsevPhD student at Skoltech, Researcher at AIRIVerified email at airi.net
Akim TsvigunSenior ML Architect @ Nebius AIVerified email at airi.net
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
Alexander FishkovSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Alain DurmusEcole polytechniqueVerified email at polytechnique.edu
Alexey ZaytsevAssistant professor, SkoltechVerified email at skoltech.ru
Vladimir SpokoinyProfessor for Statistics, Humboldt University und WIAS BerlinVerified email at wias-berlin.de
Timothy BaldwinMBZUAI and The University of MelbourneVerified email at unimelb.edu.au
Mikhail Burtsev, Михаил БурцевLondon Institute for Mathematical Sciences, Royal InstitutionVerified email at lims.ac.uk
Valentina ShumovskaiaPhD, EPFLVerified email at epfl.ch
Aleksandr ArtemenkovMSc Skoltech & MSc MIPTVerified email at phystech.edu
Dmitry YarotskySkolkovo Institute of Science and Technology, MoscowVerified email at skoltech.ru

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	184	2017
Dropout-based active learning for regression E Tsymbalov, M Panov, A Shapeev Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018	70	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	70	2016
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	58	2015
How Certain is Your Transformer? A Shelmanov, E Tsymbalov, D Puzyrev, K Fedyanin, A Panchenko, ... EACL 2021, 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	44	2022
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
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	43	2021
Tensor-train density estimation GS Novikov, ME Panov, IV Oseledets Uncertainty in artificial intelligence, 1321-1331, 2021	39	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	30	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	27*	2022
LM-Polygraph: Uncertainty Estimation for Language Models E Fadeeva, R Vashurin, A Tsvigun, A Vazhentsev, S Petrakov, K Fedyanin, ... EMNLP 2023, 446–461, 2023	26	2023
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	26	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	26	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	25	2017
Accuracy of Gaussian approximation for highdimensional posterior distributions V Spokoiny, M Panov Bernoulli. in print, 2021	22*	2021
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	20	2022
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	19	2019
NCVis: noise contrastive approach for scalable visualization A Artemenkov, M Panov Proceedings of The Web Conference 2020, 2941-2947, 2020	18	2020

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