Evgeny Burnaev

380 papers A* 44A 5B 4C 21Misc 5Journal 238Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ATATA: One Algorithm to Align Them All. CoRR Boyi Pang, Savva Ignatyev, Vladimir Ippolitov, Ramil Khafizov, Yurii Melnik, Oleg Voynov, Maksim Nakhodnov, Aibek Alanov, Xiaopeng Fan, Peter Wonka, Evgeny Burnaev
2026	J	`jnl`	Bumblebee flight stabilization using discrete control Lyapunov function-based controller in reinforcement learning environment. Commun. Nonlinear Sci. Numer. Simul. Pavel Konoplev, Artem Mikhaylov, Nikolay Efanov, Dmitry Kolomenskiy, Alexey Polilov, Evgeny Burnaev
2026	J	`jnl`	Data-driven approach to robust spatio-temporal assessment of carbon fluxes using Earth observation and ground-based data. Environ. Model. Softw. Artem Gorbarenko, Mikhail Gasanov, Elizaveta Gorbarenko, Polina Tregubova, Anna Petrovskaia, Usman Tasuev, Svetlana Illarionova, Dmitrii Shardrin, Evgeny Burnaev
2026	J	`jnl`	Emerging applications of physics-informed and physics-guided machine learning in geoenergy science: A review. Commun. Nonlinear Sci. Numer. Simul. Shadfar Davoodi, David A. Wood, Mohammed Al-Shargabi, Vladimir Vanovskiy, Valeriy S. Rukavishnikov, Evgeny Burnaev
2026	J	`jnl`	Rapid radiative transfer neural network for weather forecasting acceleration. Commun. Nonlinear Sci. Numer. Simul. Nikolay B. Yavich, Stefan Maria Ailuro, Aleksey Chesnokov, Alexander Gavrikov, Evgeny Burnaev, Vladimir Vanovskiy
2026	J	`jnl`	The Density of Cross-Persistence Diagrams and Its Applications. IEEE Access Alexander Mironenko, Evgeny Burnaev, Serguei Barannikov
2026	J	`jnl`	The Density of Cross-Persistence Diagrams and Its Applications. CoRR Alexander Mironenko, Evgeny Burnaev, Serguei Barannikov
2026	J	`jnl`	Variational Entropic Optimal Transport. CoRR Roman Dyachenko, Nikita Gushchin, Kirill Sokolov, Petr Mokrov, Evgeny Burnaev, Alexander Korotin
2025	J	`jnl`	A Deep Learning-Aided Approach for Estimating Field Permeability Map by Fusing Well Logs, Well Tests, and Seismic Data. CoRR Grigoriy Shutov, Viktor Duplyakov, Shadfar Davoodi, Anton D. Morozov, Dmitriy Popkov, Kirill Pavlenko, Albert L. Vainshtein, Viktor Kotezhekov, Sergey Kaygorodov, Boris Belozerov, Mars M. Khasanov, Vladimir Vanovskiy, Andrei Osiptsov, Evgeny Burnaev
2025	J	`jnl`	A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment. IEEE Access Polina Pilyugina, Timofey Chernikov, Maria Smirnova, Alexey Zaytsev, Alexander Bulkin, Evgeny Burnaev, Ilya S. Belalov, Nazar Sotiriadi, Albert Efimov, Yury Maximov, Oleg Anisimov
2025	J	`jnl`	A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers. CoRR Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
2025	J	`jnl`	A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Inf. Sci. Svetlana Illarionova, Rifat A. Hamoudi, Margarita Zapevalina, Ilya Fedin, Nadezhda Alsahanova, Alexander Bernstein, Evgeny Burnaev, Vera Alferova, Ekaterina Khrameeva, D. Shadrin, Iman Talaat, Ahmed Bouridane, Maxim Sharaev
2025	A*	`conf`	A3D: Does Diffusion Dream about 3D Alignment? ICLR Savva Victorovich Ignatyev, Nina Konovalova, Daniil Selikhanovych, Oleg Voynov, Nikolay Patakin, Ilya Olkov, Dmitry Senushkin, Alexey Artemov, Anton Konushin, Alexander Filippov, Peter Wonka, Evgeny Burnaev
2025	J	`jnl`	An Optimal Transport Perspective on Unpaired Image Super-Resolution. J. Optim. Theory Appl. Milena Gazdieva, Petr Mokrov, Litu Rout, Alexander Korotin, Andrey Kravchenko, Alexander Filippov, Evgeny Burnaev
2025	A*	`conf`	AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. IJCAI Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Andrey Kravchenko, Mikhail Burtsev, Evgeny Burnaev
2025	J	`jnl`	COTIC: Embracing Non-Uniformity in Event Sequence Data via Multilayer Continuous Convolution. IEEE Access Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Alexander Stepikin, Artem Zabolotnyi, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan A. Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev
2025	J	`jnl`	Cross-Satellite Climate Structure Segmentation: A Neural Network Domain Adaptation Approach. IEEE Access Nikita V. Belyakov, Svetlana Illarionova, Evgeny Burnaev
2025	J	`jnl`	Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. IEEE Access Andrey Makarov, Islombek Mirpulatov, Nikita Firsov, Valeriy Lobanov, Svetlana Illarionova, Vladimir Podlipnov, Yuliya D. Vybornova, Dmitrii Shadrin, Andrey Rastorguev, Roman V. Skidanov, Evgeny Burnaev, Artem V. Nikonorov
2025	—	`conf`	EBES: Easy Benchmarking for Event Sequences. KDD (2) Dmitry Osin, Igor Udovichenko, Egor Shvetsov, Viktor Moskvoretskii, Evgeny Burnaev
2025	J	`jnl`	Edge-wise Topological Divergence Gaps: Guiding Search in Combinatorial Optimization. CoRR Ilya Trofimov, Daria Voronkova, Alexander Mironenko, Anton Dmitriev, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov
2025	A*	`conf`	Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects. CVPR Yue Fan, Ningjing Fan, Ivan Skorokhodov, Oleg Voynov, Savva Ignatyev, Evgeny Burnaev, Peter Wonka, Yiqun Wang
2025	—	`conf`	Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders. ACL (Findings) Kristian Kuznetsov, Laida Kushnareva, Anton Razzhigaev, Polina Druzhinina, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders. CoRR Kristian Kuznetsov, Laida Kushnareva, Polina Druzhinina, Anton Razzhigaev, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	From Internal Representations to Text Quality: A Geometric Approach to LLM Evaluation. CoRR Viacheslav Yusupov, Danil Maksimov, Ameliia Alaeva, Anna Vasileva, Antipina Anna, Tatyana Zaitseva, Alina Ermilova, Evgeny Burnaev, Egor Shvetsov
2025	J	`jnl`	G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration. CoRR Ramil Khafizov, Artem Komarichev, Ruslan Rakhimov, Peter Wonka, Evgeny Burnaev
2025	—	`conf`	GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs. ACL (1) Maxim Zhelnin, Viktor Moskvoretskii, Egor Shvetsov, Mariya Krylova, Egor Venediktov, Aleksandr Zuev, Evgeny Burnaev
2025	J	`jnl`	How to model Human Actions distribution with Event Sequence Data. CoRR Egor Surkov, Dmitry Osin, Evgeny Burnaev, Egor Shvetsov
2025	J	`jnl`	InfoBridge: Mutual Information estimation via Bridge Matching. CoRR Sergei Kholkin, Ivan Butakov, Evgeny Burnaev, Nikita Gushchin, Alexander Korotin
2025	A*	`conf`	Inverse Bridge Matching Distillation. ICML Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin
2025	J	`jnl`	Inverse Bridge Matching Distillation. CoRR Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin
2025	J	`jnl`	Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models. CoRR Artyom Kharinaev, Viktor Moskvoretskii, Egor Shvetsov, Kseniia Studenikina, Bykov Mikhail, Evgeny Burnaev
2025	J	`jnl`	Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Inf. Sci. Nadezhda Alsahanova, V. Yarkin, E. Spodarev, Oleg Bronov, Vladimir Bychenko, A. Marinets, E. Syrkashev, O. Karpov, Evgeny Burnaev, Alexander Bernstein, Vera Alferova, Maxim Sharaev
2025	J	`jnl`	Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme. CoRR Mikhail Persiianov, Jiawei Chen, Petr Mokrov, Alexander Tyurin, Evgeny Burnaev, Alexander Korotin
2025	J	`jnl`	Lightweight error mitigation strategies for post-training N:M activation sparsity in LLMs. CoRR Shirin Alanova, Kristina Kazistova, Ekaterina Galaeva, Alina Kostromina, Vladimir Smirnov, Dmitry Redko, Alexey Dontsov, Maxim Zhelnin, Evgeny Burnaev, Egor Shvetsov
2025	—	`conf`	Multitask Learning for Estimating Primary Forest Characteristics Using Sentinel-2 Data. I2MTC Elisey Plotnikov, Konstantin Rudkevich, Svetlana Illarionova, Polina Tregubova, Dmitrii Shadrin, Evgeny Burnaev
2025	J	`jnl`	NeuSD: Surface Completion With Multi-View Text-to-Image Diffusion. IEEE Access Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev
2025	J	`jnl`	On the practical applicability of modern DFT functionals for chemical computations. Case study of DM21 applicability for geometry optimization. CoRR Kirill Kulaev, Alexander Ryabov, Michael Medvedev, Evgeny Burnaev, Vladimir Vanovskiy
2025	J	`jnl`	One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation. CoRR Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin
2025	J	`jnl`	Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss. CoRR Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2025	J	`jnl`	PersonalAI: Towards digital twins in the graph form. CoRR Menschikov Mikhail, Dmitry Evseev, Ruslan Kostoev, Ilya Perepechkin, Ilnaz Salimov, Victoria Dochkina, Petr Anokhin, Evgeny Burnaev, Nikita Semenov
2025	J	`jnl`	Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models. CoRR Menschikov Mikhail, Alexander Kharitonov, Maiia Kotyga, Vadim Porvatov, Anna Zhukovskaya, David Kagramanyan, Egor Shvetsov, Evgeny Burnaev
2025	J	`jnl`	Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training. CoRR Artyom Y. Sorokin, Nazar Buzun, Alexander Anokhin, Oleg Inozemcev, Egor Vedernikov, Petr Anokhin, Mikhail Burtsev, Alexey Trushkov, Wenshuai Yin, Evgeny Burnaev
2025	A*	`conf`	Quantifying Logical Consistency in Transformers via Query-Key Alignment. EMNLP Eduard Tulchinskii, Laida Kushnareva, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Quantifying Logical Consistency in Transformers via Query-Key Alignment. CoRR Eduard Tulchinskii, Anastasia Voznyuk, Laida Kushnareva, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2025	A	`conf`	RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks. AISTATS Eduard Tulchinskii, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks. CoRR Eduard Tulchinskii, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Risk-Averse Reinforcement Learning with Itakura-Saito Loss. CoRR Igor Udovichenko, Olivier Croissant, Anita Toleutaeva, Evgeny Burnaev, Alexander Korotin
2025	J	`jnl`	Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation. CoRR Sergei Shumilin, Alexander Ryabov, Nikolay B. Yavich, Evgeny Burnaev, Vladimir Vanovskiy
2025	J	`jnl`	Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. IEEE Access Yuliya D. Vybornova, Maxim Aleshin, Svetlana Illarionova, Ilya Novikov, Dmitrii Shadrin, Artem V. Nikonorov, Evgeny Burnaev
2025	J	`jnl`	Stability of the DuFort-Frankel Scheme on Unstructured Grids. Comput. Nikolay B. Yavich, Evgeny Burnaev, Vladimir Vanovskiy
2025	J	`jnl`	Topological Alternatives for Precision and Recall in Generative Models. IEEE Access Anton Dmitriev, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
2025	J	`jnl`	Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs). CoRR Nikita Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin
2024	J	`jnl`	A Large-Scale Empirical Study of Aligned Time Series Forecasting. IEEE Access Polina Pilyugina, Svetlana Medvedeva, Kirill Mosievich, Ilya Trofimov, Alina Kostromina, Dmitry Simakov, Evgeny Burnaev
2024	J	`jnl`	A3D: Does Diffusion Dream about 3D Alignment? CoRR Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych, Nikolay Patakin, Oleg Voynov, Dmitry Senushkin, Alexander Filippov, Anton Konushin, Peter Wonka, Evgeny Burnaev
2024	A*	`conf`	Adversarial Schrödinger Bridge Matching. NeurIPS Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
2024	J	`jnl`	Adversarial Schrödinger Bridge Matching. CoRR Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
2024	J	`jnl`	AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. CoRR Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Mikhail Burtsev, Evgeny Burnaev
2024	—	`conf`	Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. ECCV Workshops (10) Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua
2024	J	`jnl`	Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery. CoRR Stefan Maria Ailuro, Anna Nedorubova, Timofey Grigoryev, Evgeny Burnaev, Vladimir Vanovskiy
2024	J	`jnl`	Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting. CoRR Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Evgeny Burnaev, Alexander Korotin
2024	A*	`conf`	Disentanglement Learning via Topology. ICML Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
2024	J	`jnl`	EBES: Easy Benchmarking for Event Sequences. CoRR Dmitry Osin, Igor Udovichenko, Viktor Moskvoretskii, Egor Shvetsov, Evgeny Burnaev
2024	A*	`conf`	Energy-Guided Continuous Entropic Barycenter Estimation for General Costs. NeurIPS Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Aleksandr Korotin
2024	A*	`conf`	Energy-guided Entropic Neural Optimal Transport. ICLR Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev
2024	A*	`conf`	Estimating Barycenters of Distributions with Neural Optimal Transport. ICML Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin
2024	J	`jnl`	Estimating Barycenters of Distributions with Neural Optimal Transport. CoRR Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin
2024	J	`jnl`	GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs. CoRR Maxim Zhelnin, Viktor Moskvoretskii, Egor Shvetsov, Egor Venediktov, Mariya Krylova, Aleksandr Zuev, Evgeny Burnaev
2024	J	`jnl`	Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. CoRR Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
2024	A*	`conf`	Light Schrödinger Bridge. ICLR Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
2024	A*	`conf`	Light Unbalanced Optimal Transport. NeurIPS Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Aleksandr Korotin
2024	A*	`conf`	Light and Optimal Schrödinger Bridge Matching. ICML Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
2024	J	`jnl`	Light and Optimal Schrödinger Bridge Matching. CoRR Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
2024	J	`jnl`	Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA. CoRR Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
2024	A*	`conf`	Neural Optimal Transport with General Cost Functionals. ICLR Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev
2024	J	`jnl`	Optimal Transport Maps are Good Voice Converters. CoRR Arip Asadulaev, Rostislav Korst, Vitalii Shutov, Alexander Korotin, Yaroslav Grebnyak, Vahe Egiazarian, Evgeny Burnaev
2024	J	`jnl`	Pose estimation in robotic electric vehicle plug-in charging tasks using auto-annotation and deep learning-based keypoint detector. Eng. Appl. Artif. Intell. Viktor Rakhmatulin, Miguel Altamirano Cabrera, Andrei Puchkov, Evgeny Burnaev, Dzmitry Tsetserukou
2024	J	`jnl`	QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. IEEE Access Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev
2024	A*	`conf`	Rethinking Optimal Transport in Offline Reinforcement Learning. NeurIPS Arip Asadulaev, Rostislav Korst, Aleksandr Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
2024	J	`jnl`	Rethinking Optimal Transport in Offline Reinforcement Learning. CoRR Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
2024	—	`conf`	Scalar Function Topology Divergence: Comparing Topology of 3D Objects. ECCV (88) Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov
2024	J	`jnl`	Scalar Function Topology Divergence: Comparing Topology of 3D Objects. CoRR Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov
2024	A*	`conf`	Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation. ICML Sergei Shumilin, Alexander Ryabov, Nikolay B. Yavich, Evgeny Burnaev, Vladimir Vanovskiy
2024	J	`jnl`	Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning. CoRR Viktor Moskvoretskii, Dmitry Osin, Egor Shvetsov, Igor Udovichenko, Maxim Zhelnin, Andrey Dukhovny, Anna Zhimerikina, Albert Efimov, Evgeny Burnaev
2024	J	`jnl`	SeqNAS: Neural Architecture Search for Event Sequence Classification. IEEE Access Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Ivan Sukharev, Anatoliy Glushenko, Dmitry Berestnev, Evgeny Burnaev
2024	J	`jnl`	SeqNAS: Neural Architecture Search for Event Sequence Classification. CoRR Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Anatoliy Glushenko, Ivan Sukharev, Dmitry Berestnev, Evgeny Burnaev
2024	J	`jnl`	T-3DGS: Removing Transient Objects for 3D Scene Reconstruction. CoRR Vadim Pryadilshchikov, Alexander Markin, Artem Komarichev, Ruslan Rakhimov, Peter Wonka, Evgeny Burnaev
2024	J	`jnl`	Unpaired Depth Super-Resolution in the Wild. IEEE Access Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev
2023	J	`jnl`	A Method for Auto-Differentiation of the Voronoi Tessellation. CoRR Sergei Shumilin, Alexander Ryabov, Evgeny Burnaev, Vladimir Vanovskiý
2023	J	`jnl`	AI-enabled prediction of video game player performance using the data from heterogeneous sensors. Multim. Tools Appl. Anton Smerdov, Andrey Somov, Evgeny Burnaev, Anton Stepanov
2023	J	`jnl`	An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. Expert Syst. Appl. Filipp Skomorokhov, Jun Wang, George V. Ovchinnikov, Evgeny Burnaev, Ivan V. Oseledets
2023	J	`jnl`	Anomaly Detection in Networks via Score-Based Generative Models. CoRR Dmitrii Gavrilev, Evgeny Burnaev
2023	J	`jnl`	Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. Remote. Sens. Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev
2023	A*	`conf`	Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark. NeurIPS Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin
2023	J	`jnl`	Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark. CoRR Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin
2023	J	`jnl`	Challenges in data-based geospatial modeling for environmental research and practice. CoRR Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev
2023	J	`jnl`	Continuous-time convolutions model of event sequences. CoRR Vladislav Zhuzhel, Vsevolod Grabar, Galina Boeva, Artem Zabolotnyi, Alexander Stepikin, Vladimir Zholobov, Maria Ivanova, Mikhail Orlov, Ivan Kireev, Evgeny Burnaev, Rodrigo Rivera-Castro, Alexey Zaytsev
2023	J	`jnl`	Disentanglement Learning via Topology. CoRR Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov
2023	J	`jnl`	Energy-Guided Continuous Entropic Barycenter Estimation for General Costs. CoRR Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin
2023	J	`jnl`	Energy-guided Entropic Neural Optimal Transport. CoRR Petr Mokrov, Alexander Korotin, Evgeny Burnaev
2023	A*	`conf`	Entropic Neural Optimal Transport via Diffusion Processes. NeurIPS Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev
2023	A*	`conf`	Extremal Domain Translation with Neural Optimal Transport. NeurIPS Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
2023	J	`jnl`	Extremal Domain Translation with Neural Optimal Transport. CoRR Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
2023	J	`jnl`	Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects. CoRR Yue Fan, Ivan Skorokhodov, Oleg Voynov, Savva Ignatyev, Evgeny Burnaev, Peter Wonka, Yiqun Wang
2023	J	`jnl`	Flood Extent and Volume Estimation Using Remote Sensing Data. Remote. Sens. Georgii Popandopulo, Svetlana Illarionova, Dmitrii Shadrin, Ksenia Evteeva, Nazar Sotiriadi, Evgeny Burnaev
2023	A*	`conf`	Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. NeurIPS Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya
2023	J	`jnl`	Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts. CoRR Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
2023	A*	`conf`	Kernel Neural Optimal Transport. ICLR Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
2023	J	`jnl`	Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. CoRR Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev
2023	J	`jnl`	Learning Topology-Preserving Data Representations. CoRR Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov
2023	A*	`conf`	Learning topology-preserving data representations. ICLR Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov
2023	J	`jnl`	Light Schrödinger Bridge. CoRR Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
2023	J	`jnl`	Multi-Fidelity Neural Architecture Search With Knowledge Distillation. IEEE Access Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev
2023	J	`jnl`	Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions. IEEE Access Egor Burkov, Ruslan Rakhimov, Aleksandr Safin, Evgeny Burnaev, Victor Lempitsky
2023	A*	`conf`	Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction. CVPR Oleg Voynov, Gleb Bobrovskikh, Pavel A. Karpyshev, Saveliy Galochkin, Andrei-Timotei Ardelean, Arseniy Bozhenko, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin
2023	J	`jnl`	NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion. CoRR Savva Ignatyev, Daniil Selikhanovych, Oleg Voynov, Yiqun Wang, Peter Wonka, Stamatios Lefkimmiatis, Evgeny Burnaev
2023	J	`jnl`	Neural Gromov-Wasserstein Optimal Transport. CoRR Maksim Nekrashevich, Alexander Korotin, Evgeny Burnaev
2023	A*	`conf`	Neural Optimal Transport. ICLR Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
2023	J	`jnl`	PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov
2023	J	`jnl`	Partial Neural Optimal Transport. CoRR Milena Gazdieva, Alexander Korotin, Evgeny Burnaev
2023	J	`jnl`	Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels. IEEE Access Islombek Mirpulatov, Svetlana Illarionova, Dmitrii Shadrin, Evgeny Burnaev
2023	J	`jnl`	Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information. IEEE Access Andrey Lange, Dmitry Smolyakov, Evgeny Burnaev
2023	A*	`conf`	Sphere-Guided Training of Neural Implicit Surfaces. CVPR Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, Evgeny Burnaev
2023	A	`conf`	Topological Data Analysis for Speech Processing. INTERSPEECH Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
2022	J	`jnl`	A Differentiable Language Model Adversarial Attack on Text Classifiers. IEEE Access Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgenia Komleva, Evgeny Burnaev
2022	J	`jnl`	A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. Remote. Sens. Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev
2022	J	`jnl`	A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements. Decis. Support Syst. Valentina Bachurina, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Marie Arsalidou
2022	—	`conf`	Acceptability Judgements via Examining the Topology of Attention Maps. EMNLP (Findings) Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2022	J	`jnl`	Acceptability Judgements via Examining the Topology of Attention Maps. CoRR Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2022	Misc	`ed.`	Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers AIST Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina
2022	J	`jnl`	Analysis of Video Game Players' Emotions and Team Performance: An Esports Tournament Case Study. IEEE J. Biomed. Health Informatics Simon Abramov, Alexander Korotin, Andrey Somov, Evgeny Burnaev, Anton Stepanov, Dmitry Nikolaev, Maria A. Titova
2022	C	`conf`	Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev
2022	—	`conf`	Can We Use Neural Regularization to Solve Depth Super-resolution? VISIGRAPP (4: VISAPP) Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2022	J	`jnl`	DEF: deep estimation of sharp geometric features in 3D shapes. ACM Trans. Graph. Albert Matveev, Ruslan Rakhimov, Alexey Artemov, Gleb Bobrovskikh, Vage Egiazarian, Emil Bogomolov, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
2022	J	`jnl`	Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. CoRR Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy
2022	J	`jnl`	Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. Remote. Sens. Timofey Grigoryev, Polina Verezemskaya, Mikhail Krinitskiy, Nikita Anikin, Alexander Gavrikov, Ilya Trofimov, Nikita Balabin, Aleksei Shpilman, Andrei Eremchenko, Sergey Gulev, Evgeny Burnaev, Vladimir Vanovskiy
2022	J	`jnl`	Denoising Score Matching via Random Fourier Features. IEEE Access Olga Tsymboi, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2022	J	`jnl`	Entropic Neural Optimal Transport via Diffusion Processes. CoRR Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev
2022	J	`jnl`	GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. ACM Trans. Graph. Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng
2022	A*	`conf`	Generative Modeling with Optimal Transport Maps. ICLR Litu Rout, Alexander Korotin, Evgeny Burnaev
2022	J	`jnl`	High Performance of Gradient Boosting in Binding Affinity Prediction. CoRR Dmitrii Gavrilev, Nurlybek Amangeldiuly, Sergei Ivanov, Evgeny Burnaev
2022	A*	`conf`	Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NeurIPS Alexander Korotin, Alexander Kolesov, Evgeny Burnaev
2022	J	`jnl`	Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? CoRR Alexander Korotin, Alexander Kolesov, Evgeny Burnaev
2022	J	`jnl`	Kernel Neural Optimal Transport. CoRR Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
2022	J	`jnl`	Learned Query Optimizers: Evaluation and Improvement. IEEE Access Artem Mikhaylov, Nina Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Fu Qiang, Evgeny Burnaev
2022	J	`jnl`	Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions. CoRR Egor Burkov, Ruslan Rakhimov, Aleksandr Safin, Evgeny Burnaev, Victor Lempitsky
2022	J	`jnl`	Multi-sensor large-scale dataset for multi-view 3D reconstruction. CoRR Oleg Voynov, Gleb Bobrovskikh, Pavel A. Karpyshev, Andrei-Timotei Ardelean, Arseniy Bozhenko, Saveliy Galochkin, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin
2022	J	`jnl`	NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. IEEE Access Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Alexander Filippov, Evgeny Burnaev
2022	A*	`conf`	NPBG++: Accelerating Neural Point-Based Graphics. CVPR Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev
2022	J	`jnl`	NPBG++: Accelerating Neural Point-Based Graphics. CoRR Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev
2022	J	`jnl`	Neural Optimal Transport with General Cost Functionals. CoRR Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Evgeny Burnaev
2022	J	`jnl`	Neural Optimal Transport. CoRR Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
2022	J	`jnl`	QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise. CoRR Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev
2022	—	`ed.`	Recent Trends in Analysis of Images, Social Networks and Texts - 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Supplementary Proceedings AIST (Supplement) Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Yu. Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina
2022	J	`jnl`	Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes. IEEE Geosci. Remote. Sens. Lett. Roman Kail, Evgeny Burnaev, Alexey Zaytsev
2022	A*	`conf`	Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev
2022	J	`jnl`	Representation Topology Divergence: A Method for Comparing Neural Network Representations. CoRR Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev
2022	—	`conf`	Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. VISIGRAPP (5: VISAPP) Alexandr Notchenko, Vladislav Ishimtsev, Alexey Artemov, Vadim Selyutin, Emil Bogomolov, Evgeny Burnaev
2022	J	`jnl`	Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. CoRR Alexandr Notchenko, Vladislav Ishimtsev, Alexey Artemov, Vadim Selyutin, Emil Bogomolov, Evgeny Burnaev
2022	J	`jnl`	Sequence Embeddings Help Detect Insurance Fraud. IEEE Access Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev
2022	J	`jnl`	Sphere-Guided Training of Neural Implicit Surfaces. CoRR Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Evgeny Burnaev, Egor Zakharov
2022	J	`jnl`	Topological Data Analysis for Speech Processing. CoRR Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev
2022	J	`jnl`	Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. CoRR Gleb Bazhenov, Sergei Ivanov, Maxim Panov, Alexey Zaytsev, Evgeny Burnaev
2022	—	`conf`	Transfer learning for ensembles: reducing computation time and keeping the diversity. AIPR Ilya Shashkov, Alexey Zaytsev, Nikita Balabin, Evgeny Burnaev
2022	J	`jnl`	Transfer learning for ensembles: reducing computation time and keeping the diversity. CoRR Ilya Shashkov, Nikita Balabin, Evgeny Burnaev, Alexey Zaytsev
2022	J	`jnl`	Unpaired Image Super-Resolution with Optimal Transport Maps. CoRR Milena Gazdieva, Litu Rout, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
2022	A*	`conf`	Wasserstein Iterative Networks for Barycenter Estimation. NeurIPS Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev
2022	J	`jnl`	Wasserstein Iterative Networks for Barycenter Estimation. CoRR Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev
2021	—	`conf`	3D Parametric Wireframe Extraction Based on Distance Fields. AIPR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	J	`jnl`	3D Parametric Wireframe Extraction Based on Distance Fields. CoRR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	J	`jnl`	A Differentiable Language Model Adversarial Attack on Text Classifiers. CoRR Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev
2021	A*	`conf`	Adversarial Attacks on Deep Models for Financial Transaction Records. KDD Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
2021	J	`jnl`	Adversarial Attacks on Deep Models for Financial Transaction Records. CoRR Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
2021	—	`conf`	Artificial Text Detection via Examining the Topology of Attention Maps. EMNLP (1) Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2021	J	`jnl`	Artificial Text Detection via Examining the Topology of Attention Maps. CoRR Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2021	A*	`conf`	BooVAE: Boosting Approach for Continual Learning of VAE. NeurIPS Evgenii Egorov, Anna Kuzina, Evgeny Burnaev
2021	B	`conf`	CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. DSAA Rodrigo Rivera-Castro, Evgeny Burnaev
2021	J	`jnl`	COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
2021	J	`jnl`	Can We Use Neural Regularization to Solve Depth Super-Resolution? CoRR Milena Gazdieva, Oleg Voynov, Alexey Artemov, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2021	A*	`conf`	Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. ICLR Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
2021	J	`jnl`	Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. CoRR Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
2021	J	`jnl`	Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem. CoRR Viktor Duplyakov, Anton D. Morozov, Dmitriy Popkov, Egor V. Shel, Albert L. Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory V. Paderin
2021	J	`jnl`	Denoising Score Matching with Random Fourier Features. CoRR Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2021	J	`jnl`	Detecting Video Game Player Burnout With the Use of Sensor Data and Machine Learning. IEEE Internet Things J. Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz
2021	J	`jnl`	Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells. CoRR Ildar Abdrakhmanov, Evgenii Kanin, Sergei Boronin, Evgeny Burnaev, Andrei Osiptsov
2021	A*	`conf`	Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. NeurIPS Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Alexander Filippov, Evgeny Burnaev
2021	J	`jnl`	Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. CoRR Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev
2021	J	`jnl`	GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. CoRR Yuefan Shen, Hongbo Fu, Zhongshuo Du, Xiang Chen, Evgeny Burnaev, Denis Zorin, Kun Zhou, Youyi Zheng
2021	J	`jnl`	Generative Modeling with Optimal Transport Maps. CoRR Litu Rout, Alexander Korotin, Evgeny Burnaev
2021	C	`conf`	Homological assessment of data representations. ICMV Serguei Barannikov, Evgeny Burnaev
2021	A*	`conf`	Large-Scale Wasserstein Gradient Flows. NeurIPS Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev
2021	J	`jnl`	Large-Scale Wasserstein Gradient Flows. CoRR Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev
2021	—	`conf`	Latent Video Transformer. VISIGRAPP (5: VISAPP) Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	A	`conf`	Making DensePose fast and light. WACV Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2021	A*	`conf`	Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NeurIPS Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
2021	J	`jnl`	Manifold Topology Divergence: a Framework for Comparing Data Manifolds. CoRR Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
2021	J	`jnl`	Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts. Pattern Recognit. Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2021	—	`conf`	Optimizing the Neural Architecture of Reinforcement Learning Agents. SAI (2) Nina Mazyavkina, Samir Mohamed, Ilya Trofimov, Evgeny Burnaev
2021	A	`conf`	Random Fourier Features based SLAM. IROS Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev
2021	J	`jnl`	Reinforcement learning for combinatorial optimization: A survey. Comput. Oper. Res. Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov, Evgeny Burnaev
2021	A*	`conf`	Towards Part-Based Understanding of RGB-D Scans. CVPR Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai
2021	J	`jnl`	Towards Unpaired Depth Enhancement and Super-Resolution in the Wild. CoRR Aleksandr Safin, Maxim Kan, Nikita Drobyshev, Oleg Voynov, Alexey Artemov, Alexander Filippov, Denis Zorin, Evgeny Burnaev
2021	A*	`conf`	Wasserstein-2 Generative Networks. ICLR Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev
2020	J	`jnl`	AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors. CoRR Anton Smerdov, Evgeny Burnaev, Andrey Somov
2020	J	`jnl`	Adaptive hedging under delayed feedback. Neurocomputing Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2020	—	`conf`	Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. IEEE BigData Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
2020	J	`jnl`	Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. CoRR Ivan Maksimov, Rodrigo Rivera-Castro, Evgeny Burnaev
2020	—	`conf`	Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait. ISIE Denis Koposov, Maria Semenova, Andrey Somov, Andrey Lange, Anton Stepanov, Evgeny Burnaev
2020	—	`conf`	Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament. SmartCity360° Alexander Korotin, Anton Stepanov, Andrey Lange, Dmitry Nikolaev, Simon Abramov, Nikita Klyuchnikov, Evgeny Burnaev, Andrey Somov
2020	Misc	`conf`	Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring. AIST Evgeny Burnaev
2020	J	`jnl`	Bayesian Sparsification Methods for Deep Complex-valued Networks. CoRR Ivan Nazarov, Evgeny Burnaev
2020	A*	`conf`	Bayesian Sparsification of Deep C-valued Networks. ICML Ivan Nazarov, Evgeny Burnaev
2020	—	`conf`	CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. ECCV (13) Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. CoRR Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. CoRR Albert Matveev, Alexey Artemov, Ruslan Rakhimov, Gleb Bobrovskikh, Daniele Panozzo, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Data-driven models and computational tools for neurolinguistics: a language technology perspective. CoRR Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev
2020	—	`conf`	Deep Vectorization of Technical Drawings. ECCV (13) Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Deep Vectorization of Technical Drawings. CoRR Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data. CoRR Aiusha Sangadiev, Rodrigo Rivera-Castro, Kirill Stepanov, Andrey Poddubny, Kirill Bubenchikov, Nikita Bekezin, Polina Pilyugina, Evgeny Burnaev
2020	J	`jnl`	Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning. CoRR Anton Smerdov, Andrey Somov, Evgeny Burnaev, Bo Zhou, Paul Lukowicz
2020	J	`jnl`	Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	C	`conf`	Domain shift in computer vision models for MRI data analysis: an overview. ICMV Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	C	`conf`	Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Gaussian process classification for variable fidelity data. Neurocomputing Nikita Klyuchnikov, Evgeny Burnaev
2020	—	`conf`	Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. ANNPR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	J	`jnl`	Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. CoRR Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	Misc	`conf`	Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. AIST Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
2020	J	`jnl`	Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. CoRR Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
2020	C	`conf`	Graph Neural Networks for Model Recommendation using Time Series Data. ICMLA Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev
2020	J	`jnl`	How Good MVSNets Are at Depth Fusion. CoRR Oleg Voynov, Aleksandr Safin, Savva Ignatyev, Evgeny Burnaev
2020	C	`conf`	How good MVSNets are at depth fusion. ICMV Evgeny Burnaev
2020	J	`jnl`	Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	—	`conf`	Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Latent Video Transformer. CoRR Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. VISIGRAPP (4: VISAPP) Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2020	J	`jnl`	Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation. CoRR Ivan Makhotin, Denis M. Orlov, Dmitry A. Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko
2020	J	`jnl`	Making DensePose fast and light. CoRR Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev
2020	—	`conf`	Mixing past predictions. COPA Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2020	—	`conf`	Monocular 3D Object Detection via Geometric Reasoning on Keypoints. VISIGRAPP (5: VISAPP) Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin
2020	J	`jnl`	Multi-fidelity Neural Architecture Search with Knowledge Distillation. CoRR Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev
2020	J	`jnl`	NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. CoRR Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Evgeny Burnaev
2020	—	`conf`	Personality Traits and Coping Strategies of eSports Players. BESC Maria Semenova, Andrey Lange, Denis Koposov, Andrey Somov, Evgeny Burnaev
2020	J	`jnl`	Random Fourier Features based SLAM. CoRR Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev
2020	J	`jnl`	Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. IEEE Geosci. Remote. Sens. Lett. Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
2020	J	`jnl`	Recurrent Convolutional Neural Networks help to predict location of Earthquakes. CoRR Roman Kail, Alexey Zaytsev, Evgeny Burnaev
2020	J	`jnl`	Reinforcement Learning for Combinatorial Optimization: A Survey. CoRR Nina Mazyavkina, Sergei Sviridov, Sergei Ivanov, Evgeny Burnaev
2020	J	`jnl`	Relightable 3D Head Portraits from a Smartphone Video. CoRR Artem Sevastopolsky, Savva Ignatiev, Gonzalo Ferrer, Evgeny Burnaev, Victor Lempitsky
2020	J	`jnl`	Software System for Road Condition Forecast Correction. CoRR Dmitrii Smolyakov, Evgeny Burnaev
2020	J	`jnl`	Tensor Completion via Gaussian Process-Based Initialization. SIAM J. Sci. Comput. Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev
2020	J	`jnl`	Topological Data Analysis for Portfolio Management of Cryptocurrencies. CoRR Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
2020	J	`jnl`	Topological obstructions in neural networks learning. CoRR Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev
2020	J	`jnl`	Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting. CoRR Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
2020	J	`jnl`	Towards Part-Based Understanding of RGB-D Scans. CoRR Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai
2020	—	`conf`	User-controllable Multi-texture Synthesis with Generative Adversarial Networks. VISIGRAPP (4: VISAPP) Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry P. Vetrov
2020	—	`conf`	eSports Players Professional Level and Tiredness Prediction using EEG and Machine Learning. IEEE SENSORS Nikita Melentev, Andrey Somov, Evgeny Burnaev, Irina Strelnikova, Galina Strelnikova, Elizaveta Melenteva, Alexander Menshchikov
2019	C	`conf`	3D Deformable Convolutions for MRI Classification. ICMLA Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev
2019	J	`jnl`	3D Deformable Convolutions for MRI classification. CoRR Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev
2019	J	`jnl`	A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. CoRR Evgenii Kanin, Andrei Osiptsov, Albert L. Vainshtein, Evgeny Burnaev
2019	A*	`conf`	ABC: A Big CAD Model Dataset for Geometric Deep Learning. CVPR Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
2019	J	`jnl`	Adaptive Hedging under Delayed Feedback. CoRR Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2019	C	`conf`	An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. ICMLA Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev
2019	—	`conf`	Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. ISNN (2) Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev
2019	J	`jnl`	Artificial Neural Network Surrogate Modeling of Oil Reservoir: a Case Study. CoRR Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev
2019	J	`jnl`	Barcodes as summary of objective function's topology. CoRR Serguei Barannikov, Alexander Korotin, Dmitry Oganesyan, Daniil Emtsev, Evgeny Burnaev
2019	J	`jnl`	Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. CoRR Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
2019	J	`jnl`	BooVAE: A scalable framework for continual VAE learning under boosting approach. CoRR Anna Kuzina, Evgenii Egorov, Evgeny Burnaev
2019	—	`conf`	Boundary Loss for Remote Sensing Imagery Semantic Segmentation. ISNN (2) Alexey Bokhovkin, Evgeny Burnaev
2019	J	`jnl`	Boundary Loss for Remote Sensing Imagery Semantic Segmentation. CoRR Alexey Bokhovkin, Evgeny Burnaev
2019	J	`jnl`	Deep Neural Networks Predicting Oil Movement in a Development Unit. CoRR Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev
2019	—	`conf`	Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. ISNN (1) Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
2019	J	`jnl`	Demand forecasting techniques for build-to-order lean manufacturing supply chains. CoRR Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev
2019	J	`jnl`	Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks. Comput. Geosci. Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev
2019	—	`conf`	Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev
2019	J	`jnl`	Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction. CoRR Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin
2019	J	`jnl`	Esports Athletes and Players: A Comparative Study. IEEE Pervasive Comput. Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov
2019	J	`jnl`	Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. CoRR Ivan Makhotin, Dmitry A. Koroteev, Evgeny Burnaev
2019	J	`jnl`	Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts. CoRR Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2019	—	`conf`	Latent Convolutional Models. ICLR (Poster) Shahrukh Athar, Evgeny Burnaev, Victor S. Lempitsky
2019	J	`jnl`	Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. CoRR Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
2019	—	`conf`	Learning Ensembles of Anomaly Detectors on Synthetic Data. ISNN (2) Dmitry Smolyakov, Nadezda Sviridenko, Vladislav Ishimtsev, Evgeny Burikov, Evgeny Burnaev
2019	Misc	`conf`	Learning to Approximate Directional Fields Defined Over 2D Planes. AIST Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
2019	J	`jnl`	Learning to Approximate Directional Fields Defined over 2D Planes. CoRR Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev
2019	C	`conf`	Machine learning models reproducibility and validation for MR images recognition. ICMV Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva
2019	—	`conf`	MaxEntropy Pursuit Variational Inference. ISNN (1) Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev
2019	J	`jnl`	MaxEntropy Pursuit Variational Inference. CoRR Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev
2019	J	`jnl`	Monocular 3D Object Detection via Geometric Reasoning on Keypoints. CoRR Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin
2019	A*	`conf`	Perceptual Deep Depth Super-Resolution. ICCV Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin
2019	—	`conf`	Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. ISNN (2) Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev
2019	J	`jnl`	Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. CoRR Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev
2019	J	`jnl`	Rare Failure Prediction via Event Matching for Aerospace Applications. CoRR Evgeny Burnaev
2019	J	`jnl`	Real-time data-driven detection of the rock type alteration during a directional drilling. CoRR Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
2019	J	`jnl`	Reconstruction of 3D Porous Media From 2D Slices. CoRR Denis Volkhonskiy, Ekaterina A. Muravleva, Oleg Sudakov, Denis M. Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry A. Koroteev
2019	C	`conf`	Sensors and Game Synchronization for Data Analysis in eSports. INDIN Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov
2019	J	`jnl`	Sensors and Game Synchronization for Data Analysis in eSports. CoRR Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov
2019	C	`conf`	Steganographic generative adversarial networks. ICMV Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev
2019	J	`jnl`	Tensor Completion via Gaussian Process Based Initialization. CoRR Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev
2019	—	`conf`	Topological Data Analysis for Portfolio Management of Cryptocurrencies. ICDM Workshops Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev
2019	J	`jnl`	Topological Data Analysis of Time Series Data for B2B Customer Relationship Management. CoRR Rodrigo Rivera-Castro, Polina Pilyugina, Alexander Pletnev, Ivan Maksimov, Wanyi Wyz, Evgeny Burnaev
2019	B	`conf`	Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. DSAA Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev
2019	—	`conf`	Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov
2019	J	`jnl`	Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis. CoRR Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov
2019	—	`conf`	Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario. WF-IoT Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev
2019	J	`jnl`	Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario. CoRR Anton Smerdov, Anastasia Kiskun, Rostislav Shaniiazov, Andrey Somov, Evgeny Burnaev
2019	J	`jnl`	Understanding Isomorphism Bias in Graph Data Sets. CoRR Sergei Ivanov, Sergei Sviridov, Evgeny Burnaev
2019	—	`conf`	Usage of Multiple RTL Features for Earthquakes Prediction. ICCSA (1) Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev
2019	J	`jnl`	Usage of multiple RTL features for Earthquake prediction. CoRR Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev
2019	J	`jnl`	User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks. CoRR Aibek Alanov, Max Kochurov, Denis Volkhonskiy, Daniil Yashkov, Evgeny Burnaev, Dmitry P. Vetrov
2019	—	`conf`	Visual Fixations Duration as an Indicator of Skill Level in eSports. INTERACT (1) Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov
2019	J	`jnl`	Visual Fixations Duration as an Indicator of Skill Level in eSports. CoRR Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov
2019	J	`jnl`	Wasserstein-2 Generative Networks. CoRR Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev
2019	C	`conf`	Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. ICMLA Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019	J	`jnl`	Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. CoRR Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019	—	`conf`	eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Anton Smerdov, Evgeny Burnaev, Andrey Somov
2019	J	`jnl`	eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. CoRR Anton Smerdov, Evgeny Burnaev, Andrey Somov
2018	J	`jnl`	ABC: A Big CAD Model Dataset For Geometric Deep Learning. CoRR Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
2018	J	`jnl`	Aggregating Strategies for Long-term Forecasting. CoRR Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2018	—	`conf`	Aggregating strategies for long-term forecasting. COPA Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev
2018	—	`conf`	Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection. ANNPR Dmitry Smolyakov, Nadezda Sviridenko, Evgeny Burikov, Evgeny Burnaev
2018	A*	`conf`	Anonymous Walk Embeddings. ICML Sergey Ivanov, Evgeny Burnaev
2018	J	`jnl`	Anonymous Walk Embeddings. CoRR Sergey Ivanov, Evgeny Burnaev
2018	—	`conf`	Conformal prediction in manifold learning. COPA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	J	`jnl`	Data-driven model for the identification of the rock type at a drilling bit. CoRR Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla S. Ismailova, Ekaterina A. Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry A. Koroteev
2018	J	`jnl`	Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks. CoRR Oleg Sudakov, Evgeny Burnaev, Dmitry A. Koroteev
2018	J	`jnl`	Esports Athletes and Players: a Comparative Study. CoRR Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov
2018	—	`conf`	Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. ICDM Workshops Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein
2018	B	`conf`	Kernel Regression on Manifold Valued Data. DSAA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	J	`jnl`	Laplace Inference for Multi-fidelity Gaussian Process Classification. CoRR Nikita Klyuchnikov, Evgeny Burnaev
2018	—	`conf`	Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev
2018	—	`conf`	Learning Node Embeddings for Influence Set Completion. ICDM Workshops Sergey Ivanov, Nikita Durasov, Evgeny Burnaev
2018	B	`conf`	MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. DSAA Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev
2018	J	`jnl`	Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov
2018	—	`conf`	Manifold Learning Regression with Non-stationary Kernels. ANNPR Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	C	`conf`	Meta-learning for resampling recommendation systems. ICMV Dmitry Smolyakov, Alexander Korotin, Pavel Erofeev, Artem Papanov, Evgeny Burnaev
2018	—	`conf`	Pattern Recognition Pipeline for Neuroimaging Data. ANNPR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein
2018	A*	`conf`	Quadrature-based features for kernel approximation. NeurIPS Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2018	J	`jnl`	Quadrature-based features for kernel approximation. CoRR Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2018	—	`conf`	Reinforcement Learning for Computer Vision and Robot Navigation. MLDM (2) Alexander V. Bernstein, Evgeny Burnaev, Oleg N. Kachan
2018	—	`conf`	Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations. BIS German Novikov, Alexey Trekin, Georgy Potapov, Vladimir Ignatiev, Evgeny Burnaev
2018	J	`jnl`	Satellite imagery analysis for operational damage assessment in Emergency situations. CoRR Alexey Trekin, German Novikov, Georgy Potapov, Vladimir Ignatiev, Evgeny Burnaev
2018	C	`conf`	Targeted change detection in remote sensing images. ICMV Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev, Georgy Potapov, Evgeny Burnaev
2018	J	`jnl`	Targeted change detection in remote sensing images. CoRR Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev, Georgy Potapov, Evgeny Burnaev
2018	—	`conf`	Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev
2018	J	`jnl`	fMRI: preprocessing, classification and pattern recognition. CoRR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov
2017	—	`conf`	Conformal COPA Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov
2017	J	`jnl`	Conformal k-NN Anomaly Detector for Univariate Data Streams. CoRR Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. Ann. Math. Artif. Intell. Evgeny Burnaev, Ivan Panin, Bruno Sudret
2017	—	`conf`	Forecasting of Commercial Sales with Large Scale Gaussian Processes. ICDM Workshops Rodrigo Rivera, Evgeny Burnaev
2017	—	`conf`	Inductive Conformal Martingales for Change-Point Detection. COPA Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, Vladimir Vovk
2017	J	`jnl`	Influence of Resampling on Accuracy of Imbalanced Classification. CoRR Evgeny Burnaev, Pavel Erofeev, Artem Papanov
2017	J	`jnl`	Large scale variable fidelity surrogate modeling. Ann. Math. Artif. Intell. Alexey Zaytsev, Evgeny Burnaev
2017	Misc	`conf`	Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks. AIST Alexandr Notchenko, Yermek Kapushev, Evgeny Burnaev
2017	C	`conf`	Machine Learning in Appearance-Based Robot Self-Localization. ICMLA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich
2017	J	`jnl`	Meta-Learning for Construction of Resampling Recommendation Systems. CoRR Evgeny Burnaev, Pavel Erofeev, Artem Papanov
2017	A	`conf`	Minimax Approach to Variable Fidelity Data Interpolation. AISTATS Alexey Zaytsev, Evgeny Burnaev
2017	—	`conf`	Mobile Robot Localization via Machine Learning. MLDM Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Mobile Robot Localization via Machine Learning. CoRR Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Model Selection for Anomaly Detection. CoRR Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov
2017	J	`jnl`	Steganographic Generative Adversarial Networks. CoRR Denis Volkhonskiy, Ivan Nazarov, Boris Borisenko, Evgeny Burnaev
2016	J	`jnl`	Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection. CoRR Evgeny Burnaev, Ivan Koptelov, German Novikov, Timur Khanipov
2016	C	`conf`	Automatic construction of a recurrent neural network based classifier for vehicle passage detection. ICMV Evgeny Burnaev, Ivan Koptelov, German Novikov, Timur Khanipov
2016	C	`conf`	Conformalized Kernel Ridge Regression. ICMLA Evgeny Burnaev, Ivan Nazarov
2016	J	`jnl`	Conformalized Kernel Ridge Regression. CoRR Evgeny Burnaev, Ivan Nazarov
2016	J	`jnl`	Conformalized density- and distance-based anomaly detection in time-series data. CoRR Evgeny Burnaev, Vladislav Ishimtsev
2016	—	`conf`	Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence. ICDM Workshops Alexey Artemov, Evgeny Burnaev
2016	—	`conf`	Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. COPA Evgeny Burnaev, Ivan Panin, Bruno Sudret
2016	J	`jnl`	GTApprox: Surrogate modeling for industrial design. Adv. Eng. Softw. Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
2016	J	`jnl`	GTApprox: surrogate modeling for industrial design. CoRR Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev, Maxim Panov, Pavel V. Prikhodko, Dmitry P. Vetrov, Dmitry Yarotsky
2016	—	`conf`	One-Class SVM with Privileged Information and Its Application to Malware Detection. ICDM Workshops Evgeny Burnaev, Dmitry Smolyakov
2016	J	`jnl`	One-Class SVM with Privileged Information and its Application to Malware Detection. CoRR Evgeny Burnaev, Dmitry Smolyakov
2016	J	`jnl`	Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval. CoRR Alexandr Notchenko, Ermek Kapushev, Evgeny Burnaev
2015	—	`conf`	Adaptive Design of Experiments Based on Gaussian Processes. SLDS Evgeny Burnaev, Maxim Panov
2015	—	`conf`	Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel. SLDS Evgeny Burnaev, Ivan Panin
2015	C	`conf`	Ensembles of detectors for online detection of transient changes. ICMV Alexey Artemov, Evgeny Burnaev
2015	—	`conf`	Gaussian Process Regression for Structured Data Sets. SLDS Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev
2015	C	`conf`	Influence of resampling on accuracy of imbalanced classification. ICMV Evgeny Burnaev, Pavel Erofeev, Artem Papanov
2015	C	`conf`	Model selection for anomaly detection. ICMV Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov
2015	C	`conf`	Nonparametric decomposition of quasi-periodic time series for change-point detection. ICMV Alexey Artemov, Evgeny Burnaev, Andrey Lokot
2014	A*	`conf`	Efficiency of conformalized ridge regression. COLT Evgeny Burnaev, Vladimir Vovk
2014	J	`jnl`	Efficiency of conformalized ridge regression. CoRR Evgeny Burnaev, Vladimir Vovk