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Maxim Panov

Automatic Bitcoin Address Clustering
2017 · Dmitry Ermilov, Maxim Panov, et al. · International Conference on Machine Learning and Applications · 136
GTApprox: Surrogate modeling for industrial design
2016 · Mikhail Belyaev, Evgeny Burnaev, et al. · Advances in Engineering Software · 57
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Adaptive Design of Experiments Based on Gaussian Processes
2015 · Evgeny Burnaev, Maxim Panov · Lecture notes in computer science · 48
Dropout-Based Active Learning for Regression
2018 · Evgenii Tsymbalov, Maxim Panov, et al. · Lecture notes in computer science · 44
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Finite Sample Bernstein – von Mises Theorem for Semiparametric Problems
2015 · Maxim Panov, Vladimir Spokoiny · Bayesian Analysis · 36
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Linking bank clients using graph neural networks powered by rich transactional data
2021 · Valentina Shumovskaia, Kirill Fedyanin, et al. · International Journal of Data Science and Analytics · 33
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How Certain is Your Transformer?
2021 · Artem Shelmanov, Evgenii Tsymbalov, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 33
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Data-Driven Body-Machine Interface for Drone Intuitive Control through Voice and Gestures
2019 · A. Menshchikov, D. Ermilov, et al. · Annual Conference of the IEEE Industrial Electronics Society (IECON) · 28
Regression on the basis of nonstationary Gaussian processes with Bayesian regularization
2016 · E. V. Burnaev, M. E. Panov, et al. · Journal of Communications Technology and Electronics · 27
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
2025 · Roman Vashurin, Ekaterina Fadeeva, et al. · Transactions of the Association for Computational Linguistics · 22
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
2019 · Evgenii Tsymbalov, Sergei Makarychev, et al. · International Joint Conference on Artificial Intelligence · 20
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Why animals swirl and how they group
2021 · Egor E. Nuzhin, Maxim E. Panov, et al. · Scientific Reports · 19
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Consistent Estimation of Mixed Memberships with Successive Projections
2017 · Maxim Panov, Konstantin Slavnov, et al. · Studies in computational intelligence · 18
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Uncertainty-aware and interpretable evaluation of Cas9–gRNA and Cas12a–gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning
2021 · Bogdan Kirillov, Ekaterina Savitskaya, et al. · Nucleic Acids Research · 17
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Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
2022 · Nikita Kotelevskii, Aleksandr Artemenkov, et al. · neural information processing systems · 13
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Monte Carlo Variational Auto-Encoders
2021 · Thin, Achille, Kotelevskii, Nikita, et al. · arXiv (Cornell University) · 11
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EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data
2020 · Ivan Sukharev, Valentina Shumovskaia, et al. · Proceedings · 10
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Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data: Extended Abstract
2020 · Valentina Shumovskaia, Kirill Fedyanin, et al. · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 9
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
2019 · Gomtsyan, Marina, Mokrov, Nikita, et al. · arXiv (Cornell University) · 9
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Tensor-Train Density Estimation
2021 · Novikov, Georgii S., Panov, Maxim E., et al. · arXiv (Cornell University) · 8
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Assigning topics to documents by successive projections
2023 · Olga Klopp, Maxim Panov, et al. · The Annals of Statistics · 7
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NCVis: Noise Contrastive Approach for Scalable Visualization
2020 · Aleksandr Artemenkov, Maxim Panov · International World Wide Web Conference (WWW) · 7
Accuracy of Gaussian approximation in nonparametric Bernstein -- von Mises Theorem
2019 · Spokoiny, Vladimir, Panov, Maxim · arXiv (Cornell University) · 6
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Tailoring electrochemical efficiency of hydrogen evolution by fine tuning of TiOx/RuOx composite cathode architecture
2019 · Fedor S. Fedorov, Mikhail Y. Vasilkov, et al. · International Journal of Hydrogen Energy · 6
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Inductive Matrix Completion with Feature Selection
2021 · M. Burkina, I. Nazarov, et al. · Computational Mathematics and Mathematical Physics · 5
Works count: 95
Citation count: 682
H-index: 14
I10-index: 17
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