Evgeny Burnaev
Evgeny Burnaev
Skoltech, Full Professor, Head of Applied AI center, Head of research group, AIRI
Verified email at
Cited by
Cited by
Reinforcement learning for combinatorial optimization: A survey
N Mazyavkina, S Sviridov, S Ivanov, E Burnaev
Computers & Operations Research 134, 105400, 2021
ABC: A Big CAD Model Dataset For Geometric Deep Learning
S Koch, A Matveev, Z Jiang, F Williams, A Artemov, E Burnaev, M Alexa, ...
CVPR Proc., 9601-9611, 2019
Steganographic generative adversarial networks
D Volkhonskiy, I Nazarov, E Burnaev
12th Int. Conf. on Machine Vision (ICMV 2019) 11433, 114333M, 2020
Anonymous Walk Embeddings
S Ivanov, E Burnaev
ICML Proc.; arXiv:1805.11921, 2018
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
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
Latent Video Transformer
R Rakhimov, D Volkhonskiy, A Artemov, D Zorin, E Burnaev
VISAPP 2020; arXiv:2006.10704, 2020
Boundary loss for remote sensing imagery semantic segmentation
A Bokhovkin, E Burnaev
Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019
Influence of resampling on accuracy of imbalanced classification
E Burnaev, P Erofeev, A Papanov
Eighth International Conference on Machine Vision, 987521-987521-5, 2015
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
Wasserstein-2 Generative Networks
A Korotin, V Egiazarian, A Asadulaev, A Safin, E Burnaev
ICLR 2019; arXiv:1909.13082, 2019
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
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
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
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
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
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
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
I Barabanau, A Artemov, E Burnaev, V Murashkin
VISAPP 2019; arXiv:1905.05618, 2019
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
Deep neural networks predicting oil movement in a development unit
P Temirchev, M Simonov, R Kostoev, E Burnaev, I Oseledets, A Akhmetov, ...
Journal of Petroleum Science and Engineering 184, 106513, 2020
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