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Evgeny Burnaev
Evgeny Burnaev
Skoltech, Full Professor, Head of Applied AI center, Head of research group, AIRI
Verified email at skoltech.ru
Title
Cited by
Cited by
Year
Reinforcement learning for combinatorial optimization: A survey
N Mazyavkina, S Sviridov, S Ivanov, E Burnaev
Computers & Operations Research 134, 105400, 2021
5002021
ABC: A Big CAD Model Dataset For Geometric Deep Learning
S Koch, A Matveev, Z Jiang, F Williams, A Artemov, E Burnaev, M Alexa, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
4032019
Steganographic generative adversarial networks
D Volkhonskiy, I Nazarov, E Burnaev
12th Int. Conf. on Machine Vision (ICMV 2019) 11433, 114333M, 2020
2182020
Anonymous Walk Embeddings
S Ivanov, E Burnaev
ICML Proceedings; arXiv preprint arXiv:1805.11921, 2018
2082018
Driving digital rock towards machine learning: predicting permeability with gradient boosting and deep neural networks
O Sudakov, E Burnaev, D Koroteev
Computers & geosciences 127, 91-98, 2019
1962019
Influence of resampling on accuracy of imbalanced classification
E Burnaev, P Erofeev, A Papanov
Eighth International Conference on Machine Vision, 987521-987521-5, 2015
1142015
NAS-Bench-NLP: neural architecture search benchmark for natural language processing
N Klyuchnikov, I Trofimov, E Artemova, M Salnikov, M Fedorov, A Filippov, ...
IEEE Access 10, 45736-45747, 2022
1072022
Latent Video Transformer
R Rakhimov, D Volkhonskiy, A Artemov, D Zorin, E Burnaev
arXiv preprint arXiv:2006.10704, 2020
1042020
Boundary loss for remote sensing imagery semantic segmentation
A Bokhovkin, E Burnaev
Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019
992019
A predictive model for steady-state multiphase pipe flow: Machine learning on lab data
EA Kanin, AA Osiptsov, AL Vainshtein, EV Burnaev
Journal of Petroleum Science and Engineering 180, 727-746, 2019
952019
Wasserstein-2 Generative Networks
A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev
arXiv preprint arXiv:1909.13082, 2019
922019
One-class SVM with privileged information and its application to malware detection
E Burnaev, D Smolyakov
Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on …, 2016
882016
Esports Athletes and Players: a Comparative Study
N Khromov, A Korotin, A Lange, A Stepanov, E Burnaev, A Somov
IEEE Pervasive Computing 18 (3), 31-39, 2019
702019
Conformal -NN Anomaly Detector for Univariate Data Streams
V Ishimtsev, A Bernstein, E Burnaev, I Nazarov
Conformal and Probabilistic Prediction and Applications, 213-227, 2017
692017
Data-driven model for the identification of the rock type at a drilling bit
N Klyuchnikov, A Zaytsev, A Gruzdev, G Ovchinnikov, K Antipova, ...
Journal of Petroleum science and Engineering 178, 506-516, 2019
682019
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
682016
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
I Barabanau, A Artemov, E Burnaev, V Murashkin
arXiv preprint arXiv:1905.05618, 2019
632019
Do neural optimal transport solvers work? a continuous wasserstein-2 benchmark
A Korotin, L Li, A Genevay, JM Solomon, A Filippov, E Burnaev
Advances in Neural Information Processing Systems 34, 14593-14605, 2021
612021
Data-driven model for fracturing design optimization: focus on building digital database and production forecast
AD Morozov, DO Popkov, VM Duplyakov, RF Mutalova, AA Osiptsov, ...
arXiv, arXiv: 1910.14499, 2019
60*2019
Large-scale wasserstein gradient flows
P Mokrov, A Korotin, L Li, A Genevay, JM Solomon, E Burnaev
Advances in Neural Information Processing Systems 34, 15243-15256, 2021
592021
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