On a method for constructing ensembles of regression models. - Evgeny V. Burnaev; Pavel V. Prikhod'ko (Autom. Remote. Control., 2013)

Properties of the posterior distribution of a regression model based on Gaussian random fields. - Alexey A. Zaitsev; Evgeny V. Burnaev; Vladimir G. Spokoiny (Autom. Remote. Control., 2013)

Efficiency of conformalized ridge regression. - Evgeny Burnaev; Vladimir Vovk (COLT, 2014)

Ensembles of detectors for online detection of transient changes. - Alexey Artemov; Evgeny Burnaev (ICMV, 2015)

Nonparametric decomposition of quasi-periodic time series for change-point detection. - Alexey Artemov; Evgeny Burnaev; Andrey Lokot (ICMV, 2015)

Influence of resampling on accuracy of imbalanced classification. - Evgeny Burnaev; Pavel Erofeev; Artem Papanov (ICMV, 2015)

Model selection for anomaly detection. - Evgeny Burnaev; Pavel Erofeev; Dmitry Smolyakov (ICMV, 2015)

Gaussian Process Regression for Structured Data Sets. - Mikhail Belyaev; Evgeny Burnaev; Yermek Kapushev (SLDS, 2015)

Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel. - Evgeny Burnaev; Ivan Panin (SLDS, 2015)

Adaptive Design of Experiments Based on Gaussian Processes. - Evgeny Burnaev; Maxim Panov (SLDS, 2015)

Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions. - Evgeny Burnaev; Ivan Panin; Bruno Sudret (COPA, 2016)

Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence. - Alexey Artemov; Evgeny Burnaev (ICDM Workshops, 2016)

One-Class SVM with Privileged Information and Its Application to Malware Detection. - Evgeny Burnaev; Dmitry Smolyakov (ICDM Workshops, 2016)

Conformalized Kernel Ridge Regression. - Evgeny Burnaev; Ivan Nazarov (ICMLA, 2016)

Automatic construction of a recurrent neural network based classifier for vehicle passage detection. - Evgeny Burnaev; Ivan Koptelov; German Novikov; Timur Khanipov (ICMV, 2016)

GTApprox: Surrogate modeling for industrial design. - Mikhail Belyaev; Evgeny Burnaev; Ermek Kapushev; Maxim Panov; Pavel V. Prikhodko; Dmitry P. Vetrov; Dmitry Yarotsky (Adv. Eng. Softw., 2016)

Conformalized density- and distance-based anomaly detection in time-series data. - Evgeny Burnaev; Vladislav Ishimtsev (CoRR, 2016)

Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval. - Alexandr Notchenko; Ermek Kapushev; Evgeny Burnaev (CoRR, 2016)

Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks. - Alexandr Notchenko; Yermek Kapushev; Evgeny Burnaev (AIST, 2017)

Minimax Approach to Variable Fidelity Data Interpolation. - Alexey Zaytsev 002; Evgeny Burnaev (AISTATS, 2017)

Conformal k-NN Anomaly Detector for Univariate Data Streams. - Vladislav Ishimtsev; Alexander Bernstein; Evgeny Burnaev; Ivan Nazarov (COPA, 2017)

Inductive Conformal Martingales for Change-Point Detection. - Denis Volkhonskiy; Evgeny Burnaev; Ilia Nouretdinov; Alexander Gammerman; Vladimir Vovk (COPA, 2017)

Forecasting of Commercial Sales with Large Scale Gaussian Processes. - Rodrigo Rivera; Evgeny Burnaev (ICDM Workshops, 2017)

Machine Learning in Appearance-Based Robot Self-Localization. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev; Yury Yanovich (ICMLA, 2017)

Reinforcement learning in computer vision. - A. V. Bernstein; Evgeny V. Burnaev (ICMV, 2017)

Mobile Robot Localization via Machine Learning. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (MLDM, 2017)

Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. - Evgeny Burnaev; Ivan Panin; Bruno Sudret (Ann. Math. Artif. Intell., 2017)

Large scale variable fidelity surrogate modeling. - Alexey Zaytsev 002; Evgeny Burnaev (Ann. Math. Artif. Intell., 2017)

Meta-Learning for Construction of Resampling Recommendation Systems. - Evgeny Burnaev; Pavel Erofeev; Artem Papanov (CoRR, 2017)

Conformal k-NN Anomaly Detector for Univariate Data Streams. - Vladislav Ishimtsev; Ivan Nazarov; Alexander Bernstein; Evgeny Burnaev (CoRR, 2017)

Steganographic Generative Adversarial Networks. - Denis Volkhonskiy; Ivan Nazarov; Boris Borisenko; Evgeny Burnaev (CoRR, 2017)

Long-Term Sequential Prediction Using Expert Advice. - Eugeny Burnaev; Alexander Korotin; Vladimir V'yugin (CoRR, 2017)

On One Problem in Multichannel Signal Detection. - Evgeny V. Burnaev; G. K. Golubev (Probl. Inf. Transm., 2017)

Manifold Learning Regression with Non-stationary Kernels. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (ANNPR, 2018)

Pattern Recognition Pipeline for Neuroimaging Data. - Maxim Sharaev; Alexander Andreev; Alexey Artemov; Evgeny Burnaev; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Irina Samotaeva; Vladislav Gaskin; Alexander Bernstein (ANNPR, 2018)

Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection. - Dmitry Smolyakov; Nadezda Sviridenko; Evgeny Burikov; Evgeny Burnaev (ANNPR, 2018)

Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations. - German Novikov; Alexey Trekin; Georgy Potapov; Vladimir Ignatiev; Evgeny Burnaev (BIS, 2018)

Aggregating strategies for long-term forecasting. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (COPA, 2018)

Conformal prediction in manifold learning. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (COPA, 2018)

Kernel Regression on Manifold Valued Data. - Alexander P. Kuleshov; Alexander Bernstein; Evgeny Burnaev (DSAA, 2018)

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 (DSAA, 2018)

Learning Node Embeddings for Influence Set Completion. - Sergey Ivanov; Nikita Durasov; Evgeny Burnaev (ICDM Workshops, 2018)

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 (ICDM Workshops, 2018)

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. - Maksim Sharaev; Alexey Artemov; Ekaterina Kondrateva; Sergei Ivanov 002; Svetlana Sushchinskaya; Alexander Bernstein; Andrzej Cichocki; Evgeny Burnaev (ICDM Workshops, 2018)

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 (ICDM Workshops, 2018)

Anonymous Walk Embeddings. - Sergey Ivanov; Evgeny Burnaev (ICML, 2018)

Targeted change detection in remote sensing images. - Vladimir Ignatiev; Alexey Trekin; Viktor Lobachev; Georgy Potapov; Evgeny Burnaev (ICMV, 2018)

Meta-learning for resampling recommendation systems. - Dmitry Smolyakov; Alexander Korotin; Pavel Erofeev; Artem Papanov; Evgeny Burnaev (ICMV, 2018)

Reinforcement Learning for Computer Vision and Robot Navigation. - Alexander V. Bernstein; Evgeny Burnaev; Oleg N. Kachan (MLDM (2), 2018)

Quadrature-based features for kernel approximation. - Marina Munkhoeva; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (NeurIPS, 2018)

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. - Alexander Bernstein; Evgeny Burnaev; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Maxim Sharaev; Alexander Andreev; Alexey Artemov; Renat Akzhigitov (CoRR, 2018)

fMRI: preprocessing, classification and pattern recognition. - Maxim Sharaev; Alexander Andreev; Alexey Artemov; Alexander Bernstein; Evgeny Burnaev; Ekaterina Kondratyeva; Svetlana Sushchinskaya; Renat Akzhigitov (CoRR, 2018)

Data-driven model for the identification of the rock type at a drilling bit. - Nikita Klyuchnikov; Alexey Zaytsev 002; Arseniy Gruzdev; Georgiy Ovchinnikov; Ksenia Antipova; Leyla S. Ismailova; Ekaterina A. Muravleva; Evgeny Burnaev; Artyom Semenikhin; Alexey Cherepanov; Vitaliy Koryabkin; Igor Simon; et al. (CoRR, 2018)

Laplace Inference for Multi-fidelity Gaussian Process Classification. - Nikita Klyuchnikov; Evgeny Burnaev (CoRR, 2018)

Perceptually-based single-image depth super-resolution. - O. Voinov; Alexey Artemov; Vage Egiazarian; Alexandr Notchenko; Gleb Bobrovskikh; Denis Zorin; Evgeniy Burnaev (CoRR, 2018)

Learning to Approximate Directional Fields Defined Over 2D Planes. - Maria Taktasheva; Albert Matveev; Alexey Artemov; Evgeny Burnaev (AIST, 2019)

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 (CVPR, 2019)

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 (DSAA, 2019)

Usage of Multiple RTL Features for Earthquakes Prediction. - Polina Proskura; Alexey Zaytsev 002; I. Braslavsky; Evgenii Egorov; Evgeny Burnaev (ICCSA (1), 2019)

Perceptual Deep Depth Super-Resolution. - Oleg Voynov; Alexey Artemov; Vage Egiazarian; Alexandr Notchenko; Gleb Bobrovskikh; Evgeny Burnaev; Denis Zorin (ICCV, 2019)

Topological Data Analysis for Portfolio Management of Cryptocurrencies. - Rodrigo Rivera-Castro; Polina Pilyugina; Evgeny Burnaev (ICDM Workshops, 2019)

Latent Convolutional Models. - ShahRukh Athar; Evgeny Burnaev; Victor S. Lempitsky (ICLR (Poster), 2019)

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. - Sergey Pavlov; Alexey Artemov; Maksim Sharaev; Alexander Bernstein; Evgeny Burnaev (ICMLA, 2019)

3D Deformable Convolutions for MRI Classification. - Marina Pominova; Ekaterina Kondrateva; Maksim Sharaev; Alexander Bernstein; Sergey Pavlov; Evgeny Burnaev (ICMLA, 2019)

An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components. - Rodrigo Rivera-Castro; Ivan Nazarov; Yuke Xiang; Ivan Maksimov; Aleksandr Pletnev; Evgeny Burnaev (ICMLA, 2019)

Topological data analysis in computer vision. - Alexander Bernstein; Eugeny Burnaev; Maxim Sharaev; Ekaterina Kondrateva; Oleg Kachan (ICMV, 2019)

Machine learning models reproducibility and validation for MR images recognition. - Ekaterina Kondrateva; Polina Belozerova; Maxim Sharaev; Evgeny Burnaev; Alexander Bernstein; Irina Samotaeva (ICMV, 2019)

Steganographic generative adversarial networks. - Denis Volkhonskiy; Ivan Nazarov; Evgeny Burnaev (ICMV, 2019)

Sensors and Game Synchronization for Data Analysis in eSports. - Anton Stepanov; Andrey Lange; Nikita Khromov; Alexander Korotin; Evgeny Burnaev; Andrey Somov (INDIN, 2019)

Visual Fixations Duration as an Indicator of Skill Level in eSports. - Boris B. Velichkovsky; Nikita Khromov; Alexander Korotin; Evgeny Burnaev; Andrey Somov (INTERACT (1), 2019)

Boundary Loss for Remote Sensing Imagery Semantic Segmentation. - Alexey Bokhovkin; Evgeny Burnaev (ISNN (2), 2019)

MaxEntropy Pursuit Variational Inference. - Evgenii Egorov; Kirill Neklyudov; Ruslan Kostoev; Evgeny Burnaev (ISNN (1), 2019)

Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. - Maria Kolos; Anton Marin; Alexey Artemov; Evgeny Burnaev (ISNN (2), 2019)

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. - Rodrigo Rivera-Castro; Ivan Nazarov; Yuke Xiang; Alexander Pletneev; Ivan Maksimov; Evgeny Burnaev (ISNN (1), 2019)

Learning Ensembles of Anomaly Detectors on Synthetic Data. - Dmitry Smolyakov; Nadezda Sviridenko; Vladislav Ishimtsev; Evgeny Burikov; Evgeny Burnaev (ISNN (2), 2019)

Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. - Oleg Sudakov; Dmitri A. Koroteev; Boris Belozerov; Evgeny Burnaev (ISNN (2), 2019)

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 (ABCD-NP@MICCAI, 2019)

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 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair. - Anton Smerdov; Evgeny Burnaev; Andrey Somov (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario. - Anton Smerdov; Anastasia Kiskun; Rostislav Shaniiazov; Andrey Somov; Evgeny Burnaev (WF-IoT, 2019)

Deep Neural Networks Predicting Oil Movement in a Development Unit. - Pavel Temirchev; Maxim Simonov; Ruslan Kostoev; Evgeny Burnaev; Ivan V. Oseledets; Alexey Akhmetov; Andrey Margarit; Alexander Sitnikov; Dmitry A. Koroteev (CoRR, 2019)

Reconstruction of 3D Porous Media From 2D Slices. - Denis Volkhonskiy; Ekaterina A. Muravleva; Oleg Sudakov; Denis M. Orlov; Boris Belozerov; Evgeny Burnaev; Dmitry A. Koroteev (CoRR, 2019)

Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing. - Ivan Makhotin; Dmitry A. Koroteev; Evgeny Burnaev (CoRR, 2019)

A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. - Evgenii Kanin; Andrei Osiptsov; Albert L. Vainshtein; Evgeny Burnaev (CoRR, 2019)

Usage of multiple RTL features for Earthquake prediction. - Polina Proskura; Alexey Zaytsev 002; I. Braslavsky; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

Rare Failure Prediction via Event Matching for Aerospace Applications. - Evgeny Burnaev (CoRR, 2019)

Topological Data Analysis of Time Series Data for B2B Customer Relationship Management. - Rodrigo Rivera-Castro; Polina Pilyugina; Alexander Pletnev; Ivan Maksimov; Wanyi Wyz; Evgeny Burnaev (CoRR, 2019)

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems. - Anna Kuzina; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

BooVAE: A scalable framework for continual VAE learning under boosting approach. - Anna Kuzina; Evgenii Egorov; Evgeny Burnaev (CoRR, 2019)

Wasserstein-2 Generative Networks. - Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Evgeny Burnaev (CoRR, 2019)

Sequence embeddings help to identify fraudulent cases in healthcare insurance. - Ivan Fursov; Alexey Zaytsev 002; Rasul Khasyanov; Martin Spindler; Evgeniy Burnaev (CoRR, 2019)

Understanding Isomorphism Bias in Graph Data Sets. - Sergei Ivanov 002; Sergei Sviridov; Evgeny Burnaev (CoRR, 2019)

Machine learning on field data for hydraulic fracturing design optimization. - R. F. Mutalova; Anton D. Morozov; Andrei Osiptsov; Albert L. Vainshtein; Evgeny V. Burnaev; Egor V. Shel; Grigory V. Paderin (CoRR, 2019)

Barcodes as summary of objective function's topology. - Serguei Barannikov; Alexander Korotin; Dmitry Oganesyan; Daniil Emtsev; Evgeny Burnaev (CoRR, 2019)

Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (CoRR, 2019)

Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks. - Oleg Sudakov; Evgeny Burnaev; Dmitry A. Koroteev (Comput. Geosci., 2019)

Esports Athletes and Players: A Comparative Study. - Nikita Khromov; Alexander Korotin; Andrey Lange; Anton Stepanov; Evgeny Burnaev; Andrey Somov (IEEE Pervasive Comput., 2019)

Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring. - Evgeny Burnaev (AIST, 2020)

Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Evgeny Burnaev (AIST, 2020)

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 (AIST (Supplement), 2020)

Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. - Albert Matveev; Alexey Artemov; Denis Zorin; Evgeny Burnaev (ANNPR, 2020)

Personality Traits and Coping Strategies of eSports Players. - Maria Semenova; Andrey Lange; Denis Koposov; Andrey Somov; Evgeny Burnaev (BESC, 2020)

Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks. - Ivan Maksimov; Rodrigo Rivera-Castro; Evgeny Burnaev (IEEE BigData, 2020)

Mixing past predictions. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (COPA, 2020)

Deep Vectorization of Technical Drawings. - Vage Egiazarian; Oleg Voynov; Alexey Artemov; Denis Volkhonskiy; Aleksandr Safin; Maria Taktasheva; Denis Zorin; Evgeny Burnaev (ECCV (13), 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 (13), 2020)

Bayesian Sparsification of Deep C-valued Networks. - Ivan Nazarov; Evgeny Burnaev (ICML, 2020)

Graph Neural Networks for Model Recommendation using Time Series Data. - Aleksandr Pletnev; Rodrigo Rivera-Castro; Evgeny Burnaev (ICMLA, 2020)

How good MVSNets are at depth fusion. - Evgeny Burnaev (ICMV, 2020)

Domain shift in computer vision models for MRI data analysis: an overview. - Ekaterina Kondrateva; Marina Pominova; Maxim Sharaev; Alexander Bernstein; Evgeny Burnaev (ICMV, 2020)

Fader networks for domain adaptation on fMRI: ABIDE-II study. - Marina Pominova; Ekaterina Kondrateva; Maxim Sharaev; Alexander Bernstein; Evgeny Burnaev (ICMV, 2020)

eSports Players Professional Level and Tiredness Prediction using EEG and Machine Learning. - Nikita Melentev; Andrey Somov; Evgeny Burnaev; Irina Strelnikova; Galina Strelnikova; Elizaveta Melenteva; Alexander Menshchikov (IEEE SENSORS, 2020)

Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait. - Denis Koposov; Maria Semenova; Andrey Somov; Andrey Lange; Anton Stepanov; Evgeny Burnaev (ISIE, 2020)

Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament. - Alexander Korotin; Anton Stepanov; Andrey Lange; Dmitry Nikolaev 004; Simon Abramov; Nikita Klyuchnikov; Evgeny Burnaev; Andrey Somov (SmartCity360°, 2020)

User-controllable Multi-texture Synthesis with Generative Adversarial Networks. - Aibek Alanov; Max Kochurov; Denis Volkhonskiy; Daniil Yashkov; Evgeny Burnaev; Dmitry P. Vetrov (VISIGRAPP (4: VISAPP), 2020)

Monocular 3D Object Detection via Geometric Reasoning on Keypoints. - Ivan Barabanau; Alexey Artemov; Evgeny Burnaev; Vyacheslav Murashkin (VISIGRAPP (5: VISAPP), 2020)

Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds. - Vage Egiazarian; Savva Ignatyev; Alexey Artemov; Oleg Voynov; Andrey Kravchenko; Youyi Zheng; Luiz Velho 001; Evgeny Burnaev (VISIGRAPP (4: VISAPP), 2020)

Software System for Road Condition Forecast Correction. - Dmitrii Smolyakov; Evgeny Burnaev (CoRR, 2020)

Data-driven models and computational tools for neurolinguistics: a language technology perspective. - Ekaterina Artemova; Amir Bakarov; Aleksey Artemov; Evgeny Burnaev; Maxim Sharaev (CoRR, 2020)

Bayesian Sparsification Methods for Deep Complex-valued Networks. - Ivan Nazarov; Evgeny Burnaev (CoRR, 2020)

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. - Nikita Klyuchnikov; Ilya Trofimov; Ekaterina Artemova; Mikhail Salnikov; Maxim V. Fedorov; Evgeny Burnaev (CoRR, 2020)

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Eugeny Burnaev (CoRR, 2020)

Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. - Maxim Kan; Ruslan Aliev; Anna Rudenko; Nikita Drobyshev; Nikita Petrashen; Ekaterina Kondrateva; Maxim Sharaev; Alexander Bernstein; Evgeny Burnaev (CoRR, 2020)

Are Hyperbolic Representations in Graphs Created Equal? - Max Kochurov; Sergey Ivanov; Eugeny Burnaev (CoRR, 2020)

DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data. - Aiusha Sangadiev; Rodrigo Rivera-Castro; Kirill Stepanov; Andrey Poddubny; Kirill Bubenchikov; Nikita Bekezin; Polina Pilyugina; Evgeny Burnaev (CoRR, 2020)

Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation. - Ivan Makhotin; Denis M. Orlov; Dmitry A. Koroteev; Evgeny Burnaev; Aram Karapetyan; Dmitry Antonenko (CoRR, 2020)

TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis. - Polina Pilyugina; Rodrigo Rivera-Castro; Eugeny Burnaev (CoRR, 2020)

Domain Shift in Computer Vision models for MRI data analysis: An Overview. - Ekaterina Kondrateva; Marina Pominova; Elena Popova; Maxim Sharaev; Alexander Bernstein; Evgeny Burnaev (CoRR, 2020)

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. - Ruslan Aliev; Ekaterina Kondrateva; Maxim Sharaev; Oleg Bronov; Alexey Marinets; Sergey Subbotin 002; Alexander Bernstein; Evgeny Burnaev (CoRR, 2020)

How Good MVSNets Are at Depth Fusion. - Oleg Voynov; Aleksandr Safin; Savva Ignatyev; Evgeny Burnaev (CoRR, 2020)

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes. - Albert Matveev; Alexey Artemov; Ruslan Rakhimov; Gleb Bobrovskikh; Daniele Panozzo; Denis Zorin; Evgeny Burnaev (CoRR, 2020)

AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors. - Anton Smerdov; Evgeny Burnaev; Andrey Somov (CoRR, 2020)

Relightable 3D Head Portraits from a Smartphone Video. - Artem Sevastopolsky; Savva Ignatiev; Gonzalo Ferrer 001; Evgeny Burnaev; Victor Lempitsky (CoRR, 2020)

Topological obstructions in neural networks learning. - Serguei Barannikov; Grigorii Sotnikov; Ilya Trofimov; Alexander Korotin; Evgeny Burnaev (CoRR, 2020)

Gaussian process classification for variable fidelity data. - Nikita Klyuchnikov; Evgeny Burnaev (Neurocomputing, 2020)

Adaptive hedging under delayed feedback. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (Neurocomputing, 2020)

Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. - Evgenya Romanenkova; Alexey Zaytsev 002; Nikita Klyuchnikov; Arseniy Gruzdev; Ksenia Antipova; Leyla S. Ismailova; Evgeny Burnaev; Artyom Semenikhin; Vitaliy Koryabkin; Igor Simon; Dmitry A. Koroteev (IEEE Geosci. Remote. Sens. Lett., 2020)

Tensor Completion via Gaussian Process-Based Initialization. - Yermek Kapushev; Ivan V. Oseledets; Evgeny Burnaev (SIAM J. Sci. Comput., 2020)

3D Parametric Wireframe Extraction Based on Distance Fields. - Albert Matveev; Alexey Artemov; Denis Zorin; Evgeny Burnaev (AIPR, 2021)

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

CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions. - Rodrigo Rivera-Castro; Evgeny Burnaev (DSAA, 2021)

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 (EMNLP (1), 2021)

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

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. - Alexander Korotin; Lingxiao Li; Justin Solomon 001; Evgeny Burnaev (ICLR, 2021)

Homological assessment of data representations. - Serguei Barannikov; Evgeny Burnaev (ICMV, 2021)

Random Fourier Features based SLAM. - Yermek Kapushev; Anastasia Kishkun; Gonzalo Ferrer 001; Evgeny Burnaev (IROS, 2021)

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 002; Evgeny Burnaev (KDD, 2021)

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

BooVAE: Boosting Approach for Continual Learning of VAE. - Evgenii Egorov; Anna Kuzina; 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 (NeurIPS, 2021)

Optimizing the Neural Architecture of Reinforcement Learning Agents. - Nina Mazyavkina; Samir Mohamed; Ilya Trofimov; Evgeny Burnaev (SAI (2), 2021)

Latent Video Transformer. - Ruslan Rakhimov; Denis Volkhonskiy; Alexey Artemov; Denis Zorin; Evgeny Burnaev (VISIGRAPP (5: VISAPP), 2021)

Making DensePose fast and light. - Ruslan Rakhimov; Emil Bogomolov; Alexandr Notchenko; Fung Mao; Alexey Artemov; Denis Zorin; Evgeny Burnaev (WACV, 2021)

Reinforcement learning for combinatorial optimization: A survey. - Nina Mazyavkina; Sergey Sviridov; Sergei Ivanov 002; Evgeny Burnaev (Comput. Oper. Res., 2021)

Denoising Score Matching with Random Fourier Features. - Tsimboy Olga; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (CoRR, 2021)

COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. - Vladislav Zhuzhel; Rodrigo Rivera-Castro; Nina Kaploukhaya; Liliya Mironova; Alexey Zaytsev 002; Evgeny Burnaev (CoRR, 2021)

Towards Unpaired Depth Enhancement and Super-Resolution in the Wild. - Aleksandr Safin; Maxim Kan; Nikita Drobyshev; Oleg Voynov; Alexey Artemov; Alexander Filippov; Denis Zorin; Evgeny Burnaev (CoRR, 2021)

A Differentiable Language Model Adversarial Attack on Text Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgeny Burnaev (CoRR, 2021)

Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem. - Viktor Duplyakov; Anton D. Morozov; Dmitriy Popkov; Egor V. Shel; Albert L. Vainshtein; Evgeny Burnaev; Andrei Osiptsov; Grigory V. Paderin (CoRR, 2021)

Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells. - Ildar Abdrakhmanov; Evgenii Kanin; Sergei Boronin; Evgeny Burnaev; Andrei Osiptsov (CoRR, 2021)

Detecting Video Game Player Burnout With the Use of Sensor Data and Machine Learning. - Anton Smerdov; Andrey Somov; Evgeny Burnaev; Bo Zhou 005; Paul Lukowicz (IEEE Internet Things J., 2021)

Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (Pattern Recognit., 2021)

Transfer learning for ensembles: reducing computation time and keeping the diversity. - Ilya Shashkov; Alexey Zaytsev 002; Nikita Balabin; Evgeny Burnaev (AIPR, 2022)

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

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 (EMNLP (Findings), 2022)

Generative Modeling with Optimal Transport Maps. - Litu Rout; Alexander Korotin; Evgeny Burnaev (ICLR, 2022)

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

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 (ICMV, 2022)

Wasserstein Iterative Networks for Barycenter Estimation. - Alexander Korotin; Vage Egiazarian; Lingxiao Li; Evgeny Burnaev (NeurIPS, 2022)

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? - Alexander Korotin; Alexander Kolesov; Evgeny Burnaev (NeurIPS, 2022)

Can We Use Neural Regularization to Solve Depth Super-resolution? - Milena Gazdieva; Oleg Voynov; Alexey Artemov; Youyi Zheng; Luiz Velho 001; Evgeny Burnaev (VISIGRAPP (4: VISAPP), 2022)

Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans. - Alexandr Notchenko; Vladislav Ishimtsev; Alexey Artemov; Vadim Selyutin; Emil Bogomolov; Evgeny Burnaev (VISIGRAPP (5: VISAPP), 2022)

Sequence Embeddings Help Detect Insurance Fraud. - Ivan Fursov; Elizaveta Kovtun; Rodrigo Rivera-Castro; Alexey Zaytsev 002; Rasul Khasyanov; Martin Spindler; Evgeny Burnaev (IEEE Access, 2022)

A Differentiable Language Model Adversarial Attack on Text Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgenia Komleva; Evgeny Burnaev (IEEE Access, 2022)

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. - Nikita Klyuchnikov; Ilya Trofimov; Ekaterina Artemova; Mikhail Salnikov; Maxim V. Fedorov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2022)

Learned Query Optimizers: Evaluation and Improvement. - Artem Mikhaylov; Nina Mazyavkina; Mikhail Salnikov; Ilya Trofimov; Fu Qiang; Evgeny Burnaev (IEEE Access, 2022)

Denoising Score Matching via Random Fourier Features. - Olga Tsymboi; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (IEEE Access, 2022)

Unpaired Image Super-Resolution with Optimal Transport Maps. - Milena Gazdieva; Litu Rout; Alexander Korotin; Alexander Filippov; Evgeny Burnaev (CoRR, 2022)

High Performance of Gradient Boosting in Binding Affinity Prediction. - Dmitrii Gavrilev; Nurlybek Amangeldiuly; Sergei Ivanov 002; Evgeny Burnaev (CoRR, 2022)

Neural Optimal Transport with General Cost Functionals. - Arip Asadulaev; Alexander Korotin; Vage Egiazarian; Evgeny Burnaev (CoRR, 2022)

Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. - Gleb Bazhenov; Sergei Ivanov 002; Maxim Panov; Alexey Zaytsev 002; Evgeny Burnaev (CoRR, 2022)

A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements. - Valentina Bachurina; Svetlana Sushchinskaya; Maxim Sharaev; Evgeny Burnaev; Marie Arsalidou (Decis. Support Syst., 2022)

Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes. - Roman Kail; Evgeny Burnaev; Alexey Zaytsev 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. - Timofey Grigoryev; Polina Verezemskaya; Mikhail Krinitskiy; Nikita Anikin; Alexander Gavrikov; Ilya Trofimov; Nikita Balabin; Aleksei Shpilman; Andrei Eremchenko; Sergey Gulev; Evgeny Burnaev; Vladimir Vanovskiy (Remote. Sens., 2022)

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. - Svetlana Illarionova; Dmitrii Shadrin; Polina Tregubova; Vladimir Ignatiev; Albert Efimov; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2022)

Analysis of Video Game Players' Emotions and Team Performance: An Esports Tournament Case Study. - Simon Abramov; Alexander Korotin; Andrey Somov; Evgeny Burnaev; Anton Stepanov; Dmitry Nikolaev 004; Maria A. Titova (IEEE J. Biomed. Health Informatics, 2022)

DEF: deep estimation of sharp geometric features in 3D shapes. - Albert Matveev; Ruslan Rakhimov; Alexey Artemov; Gleb Bobrovskikh; Vage Egiazarian; Emil Bogomolov; Daniele Panozzo; Denis Zorin; Evgeny Burnaev (ACM Trans. Graph., 2022)

GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks. - Yuefan Shen; Hongbo Fu 001; Zhongshuo Du; Xiang Chen 001; Evgeny Burnaev; Denis Zorin; Kun Zhou 001; Youyi Zheng (ACM Trans. Graph., 2022)

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

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; et al. (CVPR, 2023)

Neural Optimal Transport. - Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev (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 (ICLR, 2023)

Topological Data Analysis for Speech Processing. - Eduard Tulchinskii; Kristian Kuznetsov; Laida Kushnareva; Daniil Cherniavskii; Serguei Barannikov; Irina Piontkovskaya; Sergey I. Nikolenko; Evgeny Burnaev (INTERSPEECH, 2023)

Extremal Domain Translation with Neural Optimal Transport. - Milena Gazdieva; Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev (NeurIPS, 2023)

Entropic Neural Optimal Transport via Diffusion Processes. - Nikita Gushchin; Alexander Kolesov; Alexander Korotin; Dmitry P. Vetrov; 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)

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

Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions. - Egor Burkov; Ruslan Rakhimov; Aleksandr Safin; Evgeny Burnaev; Victor Lempitsky (IEEE Access, 2023)

Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information. - Andrey Lange; Dmitry Smolyakov; Evgeny Burnaev (IEEE Access, 2023)

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels. - Islombek Mirpulatov; Svetlana Illarionova; Dmitrii Shadrin; Evgeny Burnaev (IEEE Access, 2023)

Multi-Fidelity Neural Architecture Search With Knowledge Distillation. - Ilya Trofimov; Nikita Klyuchnikov; Mikhail Salnikov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2023)

Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements. - Evgenii Kanin; A. A. Garipova; Sergei Boronin; V. V. Vanovsky; Albert L. Vainshtein; A. A. Afanasyev; Andrei Osiptsov; Evgeny V. Burnaev (CoRR, 2023)

Continuous-time convolutions model of event sequences. - 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 002 (CoRR, 2023)

Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. - Elizaveta Kovtun; Galina Boeva; Artem Zabolotnyi; Evgeny Burnaev; Martin Spindler; Alexey Zaytsev 002 (CoRR, 2023)

Neural Gromov-Wasserstein Optimal Transport. - Maksim Nekrashevich; Alexander Korotin; Evgeny Burnaev (CoRR, 2023)

Partial Neural Optimal Transport. - Milena Gazdieva; Alexander Korotin; Evgeny Burnaev (CoRR, 2023)

Energy-guided Entropic Neural Optimal Transport. - Petr Mokrov; Alexander Korotin; Evgeny Burnaev (CoRR, 2023)

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects. - Yue Fan; Ivan Skorokhodov; Oleg Voynov; Savva Ignatyev; Evgeny Burnaev; Peter Wonka; Yiqun Wang 001 (CoRR, 2023)

Anomaly Detection in Networks via Score-Based Generative Models. - Dmitrii Gavrilev; Evgeny Burnaev (CoRR, 2023)

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs. - Alexander Kolesov; Petr Mokrov; Igor Udovichenko; Milena Gazdieva; Gudmund Pammer; Evgeny Burnaev; Alexander Korotin (CoRR, 2023)

Challenges in data-based geospatial modeling for environmental research and practice. - Diana Koldasbayeva; Polina Tregubova; Mikhail Gasanov; Alexey Zaytsev 002; Anna Petrovskaia; Evgeny Burnaev (CoRR, 2023)

PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. - Natalia Soboleva; Olga Gorbunova; Maria Ivanova; Evgeny Burnaev; Matthias Nießner; Denis Zorin; Alexey Artemov (CoRR, 2023)

A Method for Auto-Differentiation of the Voronoi Tessellation. - Sergei Shumilin; Alexander Ryabov; Evgeny Burnaev; Vladimir Vanovskiý (CoRR, 2023)

Machine learning approaches to mild cognitive impairment detection based on structural MRI data and morphometric features. - M. O. Zubrikhina; O. V. Abramova; V. E. Yarkin; Vadim L. Ushakov; A. G. Ochneva; A. V. Bernstein; Evgeny V. Burnaev; Denis S. Andreyuk; V. B. Savilov; M. V. Kurmishev; T. S. Syunyakov; O. A. Karpenko; et al. (Cogn. Syst. Res., 2023)

AI-enabled prediction of video game player performance using the data from heterogeneous sensors. - Anton Smerdov; Andrey Somov; Evgeny Burnaev; Anton Stepanov (Multim. Tools Appl., 2023)

An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. - Filipp Skomorokhov; Jun Wang 002; George V. Ovchinnikov; Evgeny Burnaev; Ivan V. Oseledets (Expert Syst. Appl., 2023)

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. - Svetlana Illarionova; Dmitrii Shadrin; Islomjon Shukhratov; Ksenia Evteeva; Georgii Popandopulo; Nazar Sotiriadi; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2023)

Flood Extent and Volume Estimation Using Remote Sensing Data. - Georgii Popandopulo; Svetlana Illarionova; Dmitrii Shadrin; Ksenia Evteeva; Nazar Sotiriadi; Evgeny Burnaev (Remote. Sens., 2023)

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; et al. (ECCV Workshops (10), 2024)

Scalar Function Topology Divergence: Comparing Topology of 3D Objects. - Ilya Trofimov; Daria Voronkova; Eduard Tulchinskii; Evgeny Burnaev; Serguei Barannikov (ECCV (88), 2024)

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

Light Schrödinger Bridge. - Alexander Korotin; Nikita Gushchin; Evgeny Burnaev (ICLR, 2024)

Energy-guided Entropic Neural Optimal Transport. - Petr Mokrov; Alexander Korotin; Alexander Kolesov; Nikita Gushchin; Evgeny Burnaev (ICLR, 2024)

Disentanglement Learning via Topology. - Nikita Balabin; Daria Voronkova; Ilya Trofimov; Evgeny Burnaev; Serguei Barannikov (ICML, 2024)

Light and Optimal Schrödinger Bridge Matching. - Nikita Gushchin; Sergei Kholkin; Evgeny Burnaev; Alexander Korotin (ICML, 2024)

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

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

Rethinking Optimal Transport in Offline Reinforcement Learning. - Arip Asadulaev; Rostislav Korst; Aleksandr Korotin; Vage Egiazarian; Andrey Filchenkov; Evgeny Burnaev (NeurIPS, 2024)

Light Unbalanced Optimal Transport. - Milena Gazdieva; Arip Asadulaev; Evgeny Burnaev; Aleksandr Korotin (NeurIPS, 2024)

Adversarial Schrödinger Bridge Matching. - Nikita Gushchin; Daniil Selikhanovych; Sergei Kholkin; Evgeny Burnaev; Alexander Korotin (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; Aleksandr Korotin (NeurIPS, 2024)

A Large-Scale Empirical Study of Aligned Time Series Forecasting. - Polina Pilyugina; Svetlana Medvedeva; Kirill Mosievich; Ilya Trofimov; Alina Kostromina; Dmitry Simakov; Evgeny Burnaev (IEEE Access, 2024)

Unpaired Depth Super-Resolution in the Wild. - Aleksandr Safin; Maxim Kan; Nikita Drobyshev; Oleg Voynov; Alexey Artemov; Alexander Filippov; Denis Zorin; Evgeny Burnaev (IEEE Access, 2024)

QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. - Egor Shvetsov; Dmitry Osin; Alexey Zaytsev 002; Ivan Koryakovskiy; Valentin Buchnev; Ilya Trofimov; Evgeny Burnaev (IEEE Access, 2024)

SeqNAS: Neural Architecture Search for Event Sequence Classification. - Igor Udovichenko; Egor Shvetsov; Denis Divitsky; Dmitry Osin; Ilya Trofimov; Ivan Sukharev; Anatoliy Glushenko; Dmitry Berestnev; Evgeny Burnaev (IEEE Access, 2024)

Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning. - Viktor Moskvoretskii; Dmitry Osin; Egor Shvetsov; Igor Udovichenko; Maxim Zhelnin; Andrey Dukhovny; Anna Zhimerikina; Albert Efimov; Evgeny Burnaev (CoRR, 2024)

A3D: Does Diffusion Dream about 3D Alignment? - Savva Ignatyev; Nina Konovalova; Daniil Selikhanovych; Nikolay Patakin; Oleg Voynov; Dmitry Senushkin; Alexander Filippov; Anton Konushin; Peter Wonka; Evgeny Burnaev (CoRR, 2024)

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents. - Petr Anokhin; Nikita Semenov; Artyom Y. Sorokin; Dmitry Evseev; Mikhail Burtsev 001; Evgeny Burnaev (CoRR, 2024)

Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA. - Eduard Tulchinskii; Laida Kushnareva; Kristian Kuznetsov; Anastasia Voznyuk; Andrei Andriiainen; Irina Piontkovskaya; Evgeny Burnaev; Serguei Barannikov (CoRR, 2024)

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting. - Sergei Kholkin; Grigoriy Ksenofontov; David Li 004; Nikita Kornilov; Nikita Gushchin; Evgeny Burnaev; Alexander Korotin (CoRR, 2024)

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization. - Mikhail Persiianov; Arip Asadulaev; Nikita Andreev; Nikita Starodubcev; Dmitry Baranchuk; Anastasis Kratsios; Evgeny Burnaev; Alexander Korotin (CoRR, 2024)

EBES: Easy Benchmarking for Event Sequences. - Dmitry Osin; Igor Udovichenko; Viktor Moskvoretskii; Egor Shvetsov; Evgeny Burnaev (CoRR, 2024)

Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery. - Stefan Maria Ailuro; Anna Nedorubova; Timofey Grigoryev; Evgeny Burnaev; Vladimir Vanovskiy (CoRR, 2024)

Optimal Transport Maps are Good Voice Converters. - Arip Asadulaev; Rostislav Korst; Vitalii Shutov; Alexander Korotin; Yaroslav Grebnyak; Vahe Egiazarian; Evgeny Burnaev (CoRR, 2024)

T-3DGS: Removing Transient Objects for 3D Scene Reconstruction. - Vadim Pryadilshchikov; Alexander Markin; Artem Komarichev; Ruslan Rakhimov; Peter Wonka; Evgeny Burnaev (CoRR, 2024)

Pose estimation in robotic electric vehicle plug-in charging tasks using auto-annotation and deep learning-based keypoint detector. - Viktor Rakhmatulin; Miguel Altamirano Cabrera; Andrei Puchkov; Evgeny Burnaev; Dzmitry Tsetserukou (Eng. Appl. Artif. Intell., 2024)

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 (ACL (Findings), 2025)

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 (ACL (1), 2025)

RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks. - Eduard Tulchinskii; Daria Voronkova; Ilya Trofimov; Evgeny Burnaev; Serguei Barannikov (AISTATS, 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 001 (CVPR, 2025)

Multitask Learning for Estimating Primary Forest Characteristics Using Sentinel-2 Data. - Elisey Plotnikov; Konstantin Rudkevich; Svetlana Illarionova; Polina Tregubova; Dmitrii Shadrin; Evgeny Burnaev (I2MTC, 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 (ICLR, 2025)

NeuSD: Surface Completion With Multi-View Text-to-Image Diffusion. - Savva Ignatyev; Daniil Selikhanovych; Oleg Voynov; Yiqun Wang 001; Peter Wonka; Stamatios Lefkimmiatis; Evgeny Burnaev (IEEE Access, 2025)

Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. - 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 (IEEE Access, 2025)

A Physics-Informed Machine Learning Framework for Permafrost Stability Assessment. - Polina Pilyugina; Timofey Chernikov; Maria Smirnova; Alexey Zaytsev 002; Alexander Bulkin; Evgeny Burnaev; Ilya S. Belalov; Nazar Sotiriadi; Albert Efimov; Yury Maximov; Oleg Anisimov (IEEE Access, 2025)

Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. - Yuliya D. Vybornova; Maxim Aleshin; Svetlana Illarionova; Ilya Novikov; Dmitrii Shadrin; Artem V. Nikonorov; Evgeny Burnaev (IEEE Access, 2025)

Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. - Nadezhda Alsahanova; V. Yarkin; E. Spodarev; O. Bronov; V. Bychenko; A. Marinets; E. Syrkashev; O. Karpov; Evgeny Burnaev; Alexander Bernstein; V. Alferova; Maxim Sharaev (Inf. Sci., 2025)

A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. - Svetlana Illarionova; Rifat A. Hamoudi; M. Zapevalina; I. Fedin; Nadezhda Alsahanova; Alexander Bernstein; Evgeny Burnaev; V. Alferova; Ekaterina Khrameeva; D. Shadrin; I. Talaat; Ahmed Bouridane; et al. (Inf. Sci., 2025)

Supplementary materials for the paper "Regional-Scale Air Pollution Source Identification Using Backward particle dynamics". - Mariia Filippova; Oleg Bakhteev; Fedor Meshchaninov; Evgeny Burnaev; Vladimir Vanovskiy (Zenodo, 2025)

Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (CoRR, 2025)

On the practical applicability of modern DFT functionals for chemical computations. Case study of DM21 applicability for geometry optimization. - Kirill Kulaev; Alexander Ryabov; Michael Medvedev; Evgeny Burnaev; Vladimir Vanovskiy (CoRR, 2025)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers. - Roman Tarasov; Petr Mokrov; Milena Gazdieva; Evgeny Burnaev; Alexander Korotin (CoRR, 2025)

Inverse Bridge Matching Distillation. - Nikita Gushchin; David Li 004; Daniil Selikhanovych; Evgeny Burnaev; Dmitry Baranchuk; Alexander Korotin (CoRR, 2025)

InfoBridge: Mutual Information estimation via Bridge Matching. - Sergei Kholkin; Ivan Butakov; Evgeny Burnaev; Nikita Gushchin; Alexander Korotin (CoRR, 2025)

Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models. - Artyom Kharinaev; Viktor Moskvoretskii; Egor Shvetsov; Kseniia Studenikina; Bykov Mikhail; Evgeny Burnaev (CoRR, 2025)

Quantifying Logical Consistency in Transformers via Query-Key Alignment. - Eduard Tulchinskii; Anastasia Voznyuk; Laida Kushnareva; Andrei Andriiainen; Irina Piontkovskaya; Evgeny Burnaev; Serguei Barannikov (CoRR, 2025)

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation. - Daniil Selikhanovych; David Li 004; Aleksei Leonov; Nikita Gushchin; Sergei Kushneriuk; Alexander Filippov; Evgeny Burnaev; Iaroslav Koshelev; Alexander Korotin (CoRR, 2025)

A Deep Learning-Aided Approach for Estimating Field Permeability Map by Fusing Well Logs, Well Tests, and Seismic Data. - 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; et al. (CoRR, 2025)

Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models. - Menschikov Mikhail; Alexander Kharitonov; Maiia Kotyga; Vadim Porvatov; Anna Zhukovskaya; David Kagramanyan; Egor Shvetsov; Evgeny Burnaev (CoRR, 2025)

Risk-Averse Reinforcement Learning with Itakura-Saito Loss. - Igor Udovichenko; Olivier Croissant; Anita Toleutaeva; Evgeny Burnaev; Alexander Korotin (CoRR, 2025)

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme. - Mikhail Persiianov; Jiawei Chen; Petr Mokrov; Alexander Tyurin; Evgeny Burnaev; Alexander Korotin (CoRR, 2025)

PersonalAI: Towards digital twins in the graph form. - Menschikov Mikhail; Dmitry Evseev; Ruslan Kostoev; Ilya Perepechkin; Ilnaz Salimov; Victoria Dochkina; Petr Anokhin; Evgeny Burnaev; Nikita Semenov (CoRR, 2025)

G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration. - Ramil Khafizov; Artem Komarichev; Ruslan Rakhimov; Peter Wonka; Evgeny Burnaev (CoRR, 2025)

An Optimal Transport Perspective on Unpaired Image Super-Resolution. - Milena Gazdieva; Petr Mokrov; Litu Rout; Alexander Korotin; Andrey Kravchenko; Alexander Filippov; Evgeny Burnaev (J. Optim. Theory Appl., 2025)