Burnaev, Evgeny

50 publications

ICLR 2025 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

IJCAI 2025 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

CVPR 2025 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

ICML 2025 Inverse Bridge Matching Distillation Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin

AISTATS 2025 RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks Eduard Tulchinskii, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov

NeurIPS 2024 Adversarial Schrödinger Bridge Matching Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

ECCVW 2024 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

ICML 2024 Disentanglement Learning via Topology Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov

NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin

ICLR 2024 Energy-Guided Entropic Neural Optimal Transport Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev

ICML 2024 Estimating Barycenters of Distributions with Neural Optimal Transport Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin

ICLR 2024 Light Schrödinger Bridge Alexander Korotin, Nikita Gushchin, Evgeny Burnaev

NeurIPS 2024 Light Unbalanced Optimal Transport Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Alexander Korotin

ICML 2024 Light and Optimal Schrödinger Bridge Matching Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

ICLR 2024 Neural Optimal Transport with General Cost Functionals Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev

NeurIPS 2024 Rethinking Optimal Transport in Offline Reinforcement Learning Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev

ECCV 2024 Scalar Function Topology Divergence: Comparing Topology of 3D Objects Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov

ICML 2024 Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation Sergei Shumilin, Alexander Ryabov, Nikolay Yavich, Evgeny Burnaev, Vladimir Vanovskiy

ICMLW 2023 Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev, Evgeny Burnaev

NeurIPS 2023 Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin

NeurIPS 2023 Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P Vetrov, Evgeny Burnaev

NeurIPS 2023 Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

NeurIPS 2023 Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya

ICLR 2023 Kernel Neural Optimal Transport Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

ICLR 2023 Learning Topology-Preserving Data Representations Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov

CVPR 2023 Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction Oleg Voynov, Gleb Bobrovskikh, Pavel 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

ICLR 2023 Neural Optimal Transport Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

CVPR 2023 Sphere-Guided Training of Neural Implicit Surfaces Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, Evgeny Burnaev

ICLR 2022 Generative Modeling with Optimal Transport Maps Litu Rout, Alexander Korotin, Evgeny Burnaev

NeurIPS 2022 Kantorovich Strikes Back! Wasserstein GANs Are Not Optimal Transport? Alexander Korotin, Alexander Kolesov, Evgeny Burnaev

CVPR 2022 NPBG++: Accelerating Neural Point-Based Graphics Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev

ICML 2022 Representation Topology Divergence: A Method for Comparing Neural Network Representations. Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev

NeurIPS 2022 Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev

NeurIPS 2021 BooVAE: Boosting Approach for Continual Learning of VAE Evgenii Egorov, Anna Kuzina, Evgeny Burnaev

ICLR 2021 Continuous Wasserstein-2 Barycenter Estimation Without Minimax Optimization Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev

NeurIPS 2021 Do Neural Optimal Transport Solvers Work? a Continuous Wasserstein-2 Benchmark Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Alexander Filippov, Evgeny Burnaev

NeurIPS 2021 Large-Scale Wasserstein Gradient Flows Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Evgeny Burnaev

WACV 2021 Making DensePose Fast and Light Ruslan Rakhimov, Emil Bogomolov, Alexandr Notchenko, Fung Mao, Alexey Artemov, Denis Zorin, Evgeny Burnaev

NeurIPS 2021 Manifold Topology Divergence: A Framework for Comparing Data Manifolds. Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev

CVPR 2021 Towards Part-Based Understanding of RGB-D Scans Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai

ICLR 2021 Wasserstein-2 Generative Networks Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev

ICML 2020 Bayesian Sparsification of Deep C-Valued Networks Ivan Nazarov, Evgeny Burnaev

ECCV 2020 CAD-Deform: Deformable Fitting of CAD Models to 3D Scans Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Niessner, Denis Zorin, Evgeny Burnaev

ECCV 2020 Deep Vectorization of Technical Drawings Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev

NeurIPSW 2020 TOTOPO: Classifying Univariate and Multivariate Time Series with Topological Data Analysis Pilyugina Polina, Rodrigo Rivera-Castro, Evgeny Burnaev

ICLR 2019 Latent Convolutional Models ShahRukh Athar, Evgeny Burnaev, Victor Lempitsky

ICML 2018 Anonymous Walk Embeddings Sergey Ivanov, Evgeny Burnaev

NeurIPS 2018 Quadrature-Based Features for Kernel Approximation Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan Oseledets

AISTATS 2017 Minimax Approach to Variable Fidelity Data Interpolation Alexey Zaytsev, Evgeny Burnaev

COLT 2014 Efficiency of Conformalized Ridge Regression Evgeny Burnaev, Vladimir Vovk