Maxim Panov - Concepedia

Author

Maxim Panov

Skolkovo Institute of Science and Technology ORCID

Also Known As

M. E. Panov, M. Panov, Maxim E. Panov, Maxim Panov, Nakov, Preslav, Panov, Maxim, Panov, Maxim E., Sachan, Mrinmaya

Publications

508

Citations

H-Index

Concepts

All Affiliations

Skolkovo Institute of Science and Technology Institute for Information Transmission Problems

About

Maxim Panov is an author at Skolkovo Institute of Science and Technology specializing in engineering, systems engineering, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	183
2	Health Sciences	1	1	27
3	Language Studies	1	1	30
4	Computer Engineering	1	1	27
5	Computer Science	1	1	126

Maxim Panov

Publications

310

Citations

H-Index

Page 1

	Year	Citations
Automatic Bitcoin Address Clustering Dmitry Ermilov, Maxim Panov, Yury Yanovich Cluster ComputingEngineeringInformation SecurityDistributed LedgerCryptocurrency	2017	126
Finite Sample Bernstein – von Mises Theorem for Semiparametric Problems Maxim Panov, Vladimir Spokoiny Bayesian Analysis	2015	36
How Certain is Your Transformer? Artem Shelmanov, Evgenii Tsymbalov, Dmitri Puzyrev, Natural Language ProcessingApplied LinguisticsElectrical EngineeringSyntaxEngineering	2021	30
Regression on the basis of nonstationary Gaussian processes with Bayesian regularization Evgeny Burnaev, Maxim Panov, Alexey Zaytsev Journal of Communications Technology and Electronics	2016	29
Data-Driven Body-Machine Interface for Drone Intuitive Control through Voice and Gestures Alexander Menshchikov, Dmitry Ermilov, I. Dranitsky, Artificial IntelligenceData-driven Body-machine InterfaceConvolutional Neural NetworkEngineeringDrone Intuitive Control	2019	27
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning Evgenii Tsymbalov, Sergei Makarychev, Alexander V. Shapeev,	2019	19
Why animals swirl and how they group Egor E. Nuzhin, Maxim Panov, Nikolai V. Brilliantov Scientific Reports	2021	18
Uncertainty-aware and interpretable evaluation of Cas9–gRNA and Cas12a–gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning Bogdan Kirillov, Ekaterina Savitskaya, Maxim Panov, Nucleic Acids Research	2021	15
Monte Carlo Variational Auto-Encoders Achille Thin, Nikita Kotelevskii, Alain Durmus, arXiv (Cornell University)	2021	10

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