Evgeny Burnaev
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
94
Venues
25
Active years
2014–2026
Best venue rank
A*
Where they publish
- CICMV14 papers
- A*ICLR11 papers
- A*ICML8 papers
- A*ICDM8 papers
- A*CVPR6 papers
- CICMLA6 papers
- CISNN6 papers
- NationalAIST5 papers
- A*ECCV4 papers
- BDSAA4 papers
- A*ACL3 papers
- A*EMNLP3 papers
- AAISTATS2 papers
- A*KDD2 papers
- CUIC2 papers
- A*IJCAI1 paper
- AInterspeech1 paper
- AIROS1 paper
- AWACV1 paper
- CICCSA1 paper
- A*ICCV1 paper
- CINDIN1 paper
- BInteract1 paper
- AMICCAI1 paper
- A*COLT1 paper
Papers
94 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Motivating Next-Gen Accelerators with Flexible N: M Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches. | Shirin Alanova, Kristina Kazistova, Ekaterina Galaeva, Alina Kostromina, Vladimir Smirnov, Dmitry Redko, Alexey Dontsov, Maxim Zhelnin, Evgeny Burnaev, Egor Shvetsov |
| 2025 | ACL | Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders. | Kristian Kuznetsov, Laida Kushnareva, Anton Razzhigaev, Polina Druzhinina, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov |
| 2025 | ACL | GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs. | Maxim Zhelnin, Viktor Moskvoretskii, Egor Shvetsov, Mariya Krylova, Egor Venediktov, Aleksandr Zuev, Evgeny Burnaev |
| 2025 | AISTATS | RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks. | Eduard Tulchinskii, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov |
| 2025 | CVPR | Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects. | Yue Fan, Ningjing Fan, Ivan Skorokhodov, Oleg Voynov, Savva Ignatyev, Evgeny Burnaev, Peter Wonka, Yiqun Wang |
| 2025 | EMNLP | Quantifying Logical Consistency in Transformers via Query-Key Alignment. | Eduard Tulchinskii, Laida Kushnareva, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov |
| 2025 | ICLR | A3D: Does Diffusion Dream about 3D Alignment? | 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 | ICML | Inverse Bridge Matching Distillation. | Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin |
| 2025 | IJCAI | AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. | Petr Anokhin, Nikita Semenov, Artyom Y. Sorokin, Dmitry Evseev, Andrey Kravchenko, Mikhail Burtsev, Evgeny Burnaev |
| 2025 | KDD | EBES: Easy Benchmarking for Event Sequences. | Dmitry Osin, Igor Udovichenko, Egor Shvetsov, Viktor Moskvoretskii, Evgeny Burnaev |
| 2024 | ECCV | Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. | 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 | ECCV | Scalar Function Topology Divergence: Comparing Topology of 3D Objects. | Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov |
| 2024 | ICLR | Neural Optimal Transport with General Cost Functionals. | Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev |
| 2024 | ICLR | Light Schrdinger Bridge. | Alexander Korotin, Nikita Gushchin, Evgeny Burnaev |
| 2024 | ICLR | Energy-guided Entropic Neural Optimal Transport. | Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev |
| 2024 | ICML | Disentanglement Learning via Topology. | Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov |
| 2024 | ICML | Light and Optimal Schrdinger Bridge Matching. | Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin |
| 2024 | ICML | Estimating Barycenters of Distributions with Neural Optimal Transport. | Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin |
| 2024 | ICML | Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation. | Sergei Shumilin, Alexander Ryabov, Nikolay B. Yavich, Evgeny Burnaev, Vladimir Vanovskiy |
| 2023 | CVPR | Sphere-Guided Training of Neural Implicit Surfaces. | Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, Evgeny Burnaev |
| 2023 | CVPR | Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction. | 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 | ICLR | Neural Optimal Transport. | Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev |
| 2023 | ICLR | Kernel Neural Optimal Transport. | Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev |
| 2023 | ICLR | Learning topology-preserving data representations. | Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov |
| 2023 | Interspeech | Topological Data Analysis for Speech Processing. | Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev |
| 2022 | CVPR | NPBG++: Accelerating Neural Point-Based Graphics. | Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev |
| 2022 | EMNLP | Acceptability Judgements via Examining the Topology of Attention Maps. | Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev |
| 2022 | ICLR | Generative Modeling with Optimal Transport Maps. | Litu Rout, Alexander Korotin, Evgeny Burnaev |
| 2022 | ICML | Representation Topology Divergence: A Method for Comparing Neural Network Representations. | Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev |
| 2022 | ICMV | Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. | 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 |
| 2021 | CVPR | Towards Part-Based Understanding of RGB-D Scans. | Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai |
| 2021 | DSAA | CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. | Rodrigo Rivera-Castro, Evgeny Burnaev |
| 2021 | EMNLP | Artificial Text Detection via Examining the Topology of Attention Maps. | Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev |
| 2021 | ICLR | Wasserstein-2 Generative Networks. | Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev |
| 2021 | ICLR | Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. | Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev |
| 2021 | ICMV | Homological assessment of data representations. | Serguei Barannikov, Evgeny Burnaev |
| 2021 | IROS | Random Fourier Features based SLAM. | Yermek Kapushev, Anastasia Kishkun, Gonzalo Ferrer, Evgeny Burnaev |
| 2021 | KDD | Adversarial Attacks on Deep Models for Financial Transaction Records. | Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev |
| 2021 | WACV | Making DensePose fast and light. | Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev |
| 2020 | AIST | Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring. | Evgeny Burnaev |
| 2020 | AIST | Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. | Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev |
| 2020 | AIST | Interpretation of 3D CNNs for Brain MRI Data Classification. | Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2020 | ECCV | Deep Vectorization of Technical Drawings. | Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev |
| 2020 | ECCV | CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. | Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Niener, Denis Zorin, Evgeny Burnaev |
| 2020 | ICML | Bayesian Sparsification of Deep C-valued Networks. | Ivan Nazarov, Evgeny Burnaev |
| 2020 | ICMLA | Graph Neural Networks for Model Recommendation using Time Series Data. | Aleksandr Pletnev, Rodrigo Rivera-Castro, Evgeny Burnaev |
| 2020 | ICMV | How good MVSNets are at depth fusion. | Evgeny Burnaev |
| 2020 | ICMV | Domain shift in computer vision models for MRI data analysis: an overview. | Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2020 | ICMV | Fader networks for domain adaptation on fMRI: ABIDE-II study. | Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2019 | AIST | Learning to Approximate Directional Fields Defined Over 2D Planes. | Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev |
| 2019 | CVPR | ABC: A Big CAD Model Dataset for Geometric Deep Learning. | Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo |
| 2019 | DSAA | Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting. | Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina, Grecia Diaz, Ivan Nazarov, Wanyi Zhu, Evgeny Burnaev |
| 2019 | ICCSA | Usage of Multiple RTL Features for Earthquakes Prediction. | Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev |
| 2019 | ICCV | Perceptual Deep Depth Super-Resolution. | Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexandr Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, Denis Zorin |
| 2019 | ICDM | Topological Data Analysis for Portfolio Management of Cryptocurrencies. | Rodrigo Rivera-Castro, Polina Pilyugina, Evgeny Burnaev |
| 2019 | ICLR | Latent Convolutional Models. | ShahRukh Athar, Evgeny Burnaev, Victor S. Lempitsky |
| 2019 | ICMLA | Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. | Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2019 | ICMLA | 3D Deformable Convolutions for MRI Classification. | Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev |
| 2019 | ICMLA | An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. | Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Ivan Maksimov, Aleksandr Pletnev, Evgeny Burnaev |
| 2019 | ICMV | Machine learning models reproducibility and validation for MR images recognition. | Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva |
| 2019 | ICMV | Steganographic generative adversarial networks. | Denis Volkhonskiy, Ivan Nazarov, Evgeny Burnaev |
| 2019 | INDIN | Sensors and Game Synchronization for Data Analysis in eSports. | Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov |
| 2019 | Interact | Visual Fixations Duration as an Indicator of Skill Level in eSports. | Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov |
| 2019 | ISNN | Boundary Loss for Remote Sensing Imagery Semantic Segmentation. | Alexey Bokhovkin, Evgeny Burnaev |
| 2019 | ISNN | MaxEntropy Pursuit Variational Inference. | Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev |
| 2019 | ISNN | Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. | Maria Kolos, Anton Marin, Alexey Artemov, Evgeny Burnaev |
| 2019 | ISNN | Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. | Rodrigo Rivera-Castro, Ivan Nazarov, Yuke Xiang, Alexander Pletneev, Ivan Maksimov, Evgeny Burnaev |
| 2019 | ISNN | Learning Ensembles of Anomaly Detectors on Synthetic Data. | Dmitry Smolyakov, Nadezda Sviridenko, Vladislav Ishimtsev, Evgeny Burikov, Evgeny Burnaev |
| 2019 | ISNN | Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. | Oleg Sudakov, Dmitri A. Koroteev, Boris Belozerov, Evgeny Burnaev |
| 2019 | MICCAI | Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. | Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev |
| 2019 | UIC | Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis. | Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov |
| 2019 | UIC | eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. | Anton Smerdov, Evgeny Burnaev, Andrey Somov |
| 2018 | DSAA | Kernel Regression on Manifold Valued Data. | Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev |
| 2018 | DSAA | MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. | Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev |
| 2018 | ICDM | Learning Node Embeddings for Influence Set Completion. | Sergey Ivanov, Nikita Durasov, Evgeny Burnaev |
| 2018 | ICDM | Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. | Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev |
| 2018 | ICDM | Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. | Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev |
| 2018 | ICDM | Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. | Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein |
| 2018 | ICML | Anonymous Walk Embeddings. | Sergey Ivanov, Evgeny Burnaev |
| 2018 | ICMV | Targeted change detection in remote sensing images. | Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev, Georgy Potapov, Evgeny Burnaev |
| 2018 | ICMV | Meta-learning for resampling recommendation systems. | Dmitry Smolyakov, Alexander Korotin, Pavel Erofeev, Artem Papanov, Evgeny Burnaev |
| 2017 | AIST | Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks. | Alexandr Notchenko, Yermek Kapushev, Evgeny Burnaev |
| 2017 | AISTATS | Minimax Approach to Variable Fidelity Data Interpolation. | Alexey Zaytsev, Evgeny Burnaev |
| 2017 | ICDM | Forecasting of Commercial Sales with Large Scale Gaussian Processes. | Rodrigo Rivera, Evgeny Burnaev |
| 2017 | ICMLA | Machine Learning in Appearance-Based Robot Self-Localization. | Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich |
| 2016 | ICDM | Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence. | Alexey Artemov, Evgeny Burnaev |
| 2016 | ICDM | One-Class SVM with Privileged Information and Its Application to Malware Detection. | Evgeny Burnaev, Dmitry Smolyakov |
| 2016 | ICMLA | Conformalized Kernel Ridge Regression. | Evgeny Burnaev, Ivan Nazarov |
| 2016 | ICMV | Automatic construction of a recurrent neural network based classifier for vehicle passage detection. | Evgeny Burnaev, Ivan Koptelov, German Novikov, Timur Khanipov |
| 2015 | ICMV | Ensembles of detectors for online detection of transient changes. | Alexey Artemov, Evgeny Burnaev |
| 2015 | ICMV | Nonparametric decomposition of quasi-periodic time series for change-point detection. | Alexey Artemov, Evgeny Burnaev, Andrey Lokot |
| 2015 | ICMV | Influence of resampling on accuracy of imbalanced classification. | Evgeny Burnaev, Pavel Erofeev, Artem Papanov |
| 2015 | ICMV | Model selection for anomaly detection. | Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov |
| 2014 | COLT | Efficiency of conformalized ridge regression. | Evgeny Burnaev, Vladimir Vovk |