Evgeny Burnaev

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Manifold Learning Regression with Non-stationary Kernels

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, ANNPR.

Extremal Domain Translation with Neural Optimal Transport

Daniil Selikhanovych, Evgeny Burnaev, Alexander Korotin, 2023, 2301.12874.

GTApprox: Surrogate modeling for industrial design

Evgeny Burnaev, Ermek Kapushev, Dmitry P. Vetrov, 2016, Adv. Eng. Softw..

Efficiency of conformalized ridge regression

Vladimir Vovk, Evgeny Burnaev, V. Vovk, 2014, COLT.

Nonparametric decomposition of quasi-periodic time series for change-point detection

Evgeny Burnaev, Alexey Artemov, Andrey Lokot, 2015, International Conference on Machine Vision.

Mobile Robot Localization via Machine Learning

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2017, MLDM.

Inductive Conformal Martingales for Change-Point Detection

Alexander Gammerman, Vladimir Vovk, Evgeny Burnaev, 2017, COPA.

Artificial Text Detection via Examining the Topology of Attention Maps

A. Bernstein, D. Piontkovski, Evgeny Burnaev, 2021, EMNLP.

Driving Digital Rock towards Machine Learning: predicting permeability with Gradient Boosting and Deep Neural Networks

Evgeny Burnaev, Oleg Sudakov, Dmitry Koroteev, 2018, Comput. Geosci..

DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data pdf

Evgeny Burnaev, Rodrigo Rivera-Castro, Polina Pilyugina, 2020, ArXiv.

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

BooVAE: A scalable framework for continual VAE learning under boosting approach pdf

Evgeny Burnaev, Anna Kuzina, Evgenii Egorov, 2019, ArXiv.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

Evgeny Burnaev, Anna Kuzina, Evgenii Egorov, 2019, Front. Neurosci..

Perceptual Deep Depth Super-Resolution

Evgeny Burnaev, Alexandr Notchenko, Denis Zorin, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Meta-learning for resampling recommendation systems

Evgeny Burnaev, Pavel Erofeev, Artem Papanov, 2017, International Conference on Machine Vision.

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Conformal prediction in manifold learning

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, COPA.

Machine Learning in Appearance-Based Robot Self-Localization

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Influence of resampling on accuracy of imbalanced classification

Evgeny Burnaev, Pavel Erofeev, Artem Papanov, 2015, International Conference on Machine Vision.

ABC: A Big CAD Model Dataset for Geometric Deep Learning

Marc Alexa, Sebastian Koch, Daniele Panozzo, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions

Bruno Sudret, Evgeny Burnaev, Ivan Panin, 2016, COPA.

Denoising Score Matching via Random Fourier Features pdf

Evgeny Burnaev, Ivan Oseledets, Yermek Kapushev, 2021, IEEE Access.

Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions

Bruno Sudret, Evgeny Burnaev, Ivan Panin, 2017, Annals of Mathematics and Artificial Intelligence.

Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel

Evgeny Burnaev, Ivan Panin, Evgeny Burnaev, 2015, SLDS.

BooVAE: Boosting Approach for Continual Learning of VAE

Evgeny Burnaev, E. Egorov, Anna Kuzina, 2019, NeurIPS.

Domain shift in computer vision models for MRI data analysis: an overview

A. Bernstein, M. Sharaev, Evgeny Burnaev, 2020, International Conference on Machine Vision.

A Differentiable Language Model Adversarial Attack on Text Classifiers pdf

Andrey Kravchenko, Evgeny Burnaev, Nikita Klyuchnikov, 2021, IEEE Access.

Mixing past predictions

Evgeny Burnaev, Alexander Korotin, Vladimir V’yugin, 2020, COPA.

NPBG++: Accelerating Neural Point-Based Graphics

V. Lempitsky, Evgeny Burnaev, Ruslan Rakhimov, 2022, ArXiv.

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing pdf

Evgeny Burnaev, Ilya Trofimov, Nikita Klyuchnikov, 2020, IEEE Access.

Quadrature-based features for kernel approximation

Evgeny Burnaev, Ivan V. Oseledets, Yermek Kapushev, 2018, NeurIPS.

Topological Data Analysis for Speech Processing

Evgeny Burnaev, D. Cherniavskii, S. Barannikov, 2022, arXiv.org.

User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks

Evgeny Burnaev, Denis Volkhonskiy, Dmitry P. Vetrov, 2019, VISIGRAPP.

Multi-NeuS: 3D Head Portraits from Single Image with Neural Implicit Functions

V. Lempitsky, Evgeny Burnaev, Ruslan Rakhimov, 2022, ArXiv.

Making DensePose fast and light pdf

Evgeny Burnaev, Alexandr Notchenko, Denis Zorin, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans pdf

Evgeny Burnaev, Denis Zorin, Alexey Artemov, 2020, ECCV.

Steganographic generative adversarial networks

Evgeny Burnaev, Denis Volkhonskiy, Ivan Nazarov, 2017, International Conference on Machine Vision.

Neural Optimal Transport

Daniil Selikhanovych, Evgeny Burnaev, Alexander Korotin, 2022, ICLR.

Large-Scale Wasserstein Gradient Flows pdf

Evgeny Burnaev, Justin Solomon, Aude Genevay, 2021, NeurIPS.

Energy-guided Entropic Neural Optimal Transport

Evgeny Burnaev, Alexander Korotin, Petr Mokrov, 2023, 2304.06094.

Neural Gromov-Wasserstein Optimal Transport

Evgeny Burnaev, Alexander Korotin, Maksim Nekrashevich, 2023, ArXiv.

Extremal Domain Translation with Neural Optimal Transport

Daniil Selikhanovych, Evgeny Burnaev, Alexander Korotin, 2023, ArXiv.

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Evgeny Burnaev, Alexander Korotin, A. Kolesov, 2022, NeurIPS.

Wasserstein Iterative Networks for Barycenter Estimation

Lingxiao Li, Evgeny Burnaev, Alexander Korotin, 2022, NeurIPS.

Generative Modeling with Optimal Transport Maps

Evgeny Burnaev, Litu Rout, Alexander Korotin, 2021, ICLR.

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization pdf

Evgeny Burnaev, Justin Solomon, Alexander Korotin, 2021, ICLR.

Usage of multiple RTL features for Earthquake prediction pdf

P. Proskura, A. Zaytsev, I. Braslavsky, 2019, ICCSA.

Conformalized density- and distance-based anomaly detection in time-series data pdf

Evgeny Burnaev, Vladislav Ishimtsev, Evgeny Burnaev, 2016, ArXiv.

Conformal Kernel Expected Similarity for Anomaly Detection in Time-Series data

Evgeny Burnaev, Aleksandr Safin, 2017 .

Pattern Recognition Pipeline for Neuroimaging Data

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, ANNPR.

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Evgeny Burnaev, D. Cherniavskii, S. Barannikov, 2023, ArXiv.

Forecasting of Commercial Sales with Large Scale Gaussian Processes

Evgeny Burnaev, Rodrigo Rivera, Evgeny Burnaev, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Unpaired Image Super-Resolution with Optimal Transport Maps

Alexander N. Filippov, Evgeny Burnaev, Litu Rout, 2022, ArXiv.

Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts

Evgeny Burnaev, Vladimir V’yugin, Alexander Korotin, 2021, Pattern Recognit..

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry pdf

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, ArXiv.

fMRI: preprocessing, classification and pattern recognition pdf

Evgeny Burnaev, Alexander Bernstein, Alexey Artemov, 2018, ArXiv.

Anonymous Walk Embeddings pdf

Sergey Ivanov, Evgeny Burnaev, Evgeny Burnaev, 2018, ICML.

Fader networks for domain adaptation on fMRI: ABIDE-II study

A. Bernstein, M. Sharaev, Evgeny Burnaev, 2020, International Conference on Machine Vision.

GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks pdf

Evgeny Burnaev, Youyi Zheng, Denis Zorin, 2021, ACM Trans. Graph..

Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1

A. Bernstein, M. Sharaev, R. Hamoudi, 2023, Neurobiology of Stress.

A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements

M. Sharaev, Evgeny Burnaev, M. Arsalidou, 2021, Decis. Support Syst..

Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world pdf

Andrey Kravchenko, Evgeny Burnaev, Alexey Zaytsev, 2020, AIST.

Towards Part-Based Understanding of RGB-D Scans pdf

Evgeny Burnaev, Denis Zorin, Angela Dai, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Satellite imagery analysis for operational damage assessment in Emergency situations

Evgeny Burnaev, Alexey Trekin, German Novikov, 2018, BIS.

Learned Query Optimizers: Evaluation and Improvement

I. Trofimov, Mikhail Salnikov, Evgeny Burnaev, 2022, IEEE Access.

Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds pdf

Andrey Kravchenko, Luiz Velho, Evgeny Burnaev, 2019, VISIGRAPP.

One-Class SVM with Privileged Information and Its Application to Malware Detection

Evgeny Burnaev, Dmitry Smolyakov, Evgeny Burnaev, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Relightable 3D Head Portraits from a Smartphone Video pdf

Evgeny Burnaev, Artem Sevastopolsky, Savva Ignatiev, 2020, ArXiv.

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

Peter Wonka, Ivan Skorokhodov, Evgeny Burnaev, 2023, ArXiv.

Sphere-Guided Training of Neural Implicit Surfaces

Evgeny Burnaev, Andrei Ardelean, Egor Zakharov, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

Pavel A. Karpyshev, D. Zorin, Evgeny Burnaev, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

$\text{NPBG++}$: Accelerating Neural Point-Based Graphics

V. Lempitsky, Evgeny Burnaev, Ruslan Rakhimov, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Anomaly Detection in Networks via Score-Based Generative Models

Evgeny Burnaev, Dmitrii Gavrilev, 2023, ArXiv.

Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers

A. Bernstein, M. Sharaev, Evgeny Burnaev, 2022, PloS one.

Deep Neural Networks Predicting Oil Movement in a Development Unit pdf

Evgeny Burnaev, Dmitry Koroteev, Ivan V. Oseledets, 2019, Journal of Petroleum Science and Engineering.

Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention

Evgeny Burnaev, A. Zaytsev, M. Spindler, 2023, arXiv.org.

Tensor Completion via Gaussian Process Based Initialization

I. Oseledets, Evgeny Burnaev, Yermek Kapushev, 2019, SIAM J. Sci. Comput..

Bayesian Sparsification of Deep C-valued Networks

Evgeny Burnaev, Ivan Nazarov, Evgeny Burnaev, 2020, ICML.

Bayesian Sparsification Methods for Deep Complex-valued Networks pdf

Evgeny Burnaev, Ivan Nazarov, Evgeny Burnaev, 2020, ArXiv.

Entropic Neural Optimal Transport via Diffusion Processes

D. Vetrov, Evgeny Burnaev, Alexander Korotin, 2022, ArXiv.

Esports Athletes and Players: A Comparative Study

Evgeny Burnaev, Andrey Somov, Anton Stepanov, 2018, IEEE Pervasive Computing.

Large scale variable fidelity surrogate modeling

Evgeny Burnaev, Alexey Zaytsev, Evgeny Burnaev, 2017, Annals of Mathematics and Artificial Intelligence.

Learning Node Embeddings for Influence Set Completion

Sergey Ivanov, Evgeny Burnaev, Nikita Durasov, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Energy-guided Entropic Neural Optimal Transport

Evgeny Burnaev, Alexander Korotin, Petr Mokrov, 2023, ArXiv.

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Evgeny Burnaev, Alexander Korotin, A. Kolesov, 2023, ArXiv.

Reinforcement Learning for Computer Vision and Robot Navigation

Evgeny Burnaev, Alexander V. Bernstein, O. N. Kachan, 2018, MLDM.

Reinforcement learning in computer vision

Evgeny Burnaev, Alexander Bernstein, A. Bernstein, 2018, International Conference on Machine Vision.

Geometric Attention for Prediction of Differential Properties in 3D Point Clouds pdf

Evgeny Burnaev, Alexey Artemov, Albert Matveev, 2020, ANNPR.

Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans

Evgeny Burnaev, A. Notchenko, Emil Bogomolov, 2022, VISIGRAPP.

Disentanglement Learning via Topology

I. Trofimov, Evgeny Burnaev, S. Barannikov, 2023, ArXiv.

Generalization Bound for Imbalanced Classification

Evgeny Burnaev, Evgeny Burnaev, 2020, Recent Developments in Stochastic Methods and Applications.

Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes pdf

Evgeny Burnaev, Roman Kail, Alexey Zaytsev, 2020, IEEE Geoscience and Remote Sensing Letters.

Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1

A. Bernstein, M. Sharaev, R. Hamoudi, 2023, Neurobiology of Stress.

Computationally efficient algorithm for Gaussian Process regression in case of structured samples

Evgeny Burnaev, Evgeny Burnaev, M. Belyaev, 2016, Computational Mathematics and Mathematical Physics.

Conformal k-NN Anomaly Detector for Univariate Data Streams

Evgeny Burnaev, Alexander Bernstein, Vladislav Ishimtsev, 2017, COPA.

Adaptive Hedging under Delayed Feedback

Evgeny Burnaev, Alexander Korotin, Vladimir V'yugin, 2019, Neurocomputing.

Aggregating Strategies for Long-term Forecasting pdf

Evgeny Burnaev, Alexander Korotin, Vladimir V'yugin, 2018, COPA.

Deep Vectorization of Technical Drawings

D. Zorin, Evgeny Burnaev, Vage Egiazarian, 2020, ECCV.

NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion

Daniil Selikhanovych, Stamatios Lefkimmiatis, Peter Wonka, 2023, ArXiv.

$\text{NPBG++}$: Accelerating Neural Point-Based Graphics

V. Lempitsky, Evgeny Burnaev, Ruslan Rakhimov, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Random Fourier Features based SLAM

Gonzalo Ferrer, Evgeny Burnaev, Yermek Kapushev, 2020, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bayesian Sparsification Methods for Deep Complex-valued Networks

Evgeny Burnaev, I. Nazarov, 2020, ArXiv.

Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions

V. Lempitsky, Evgeny Burnaev, Ruslan Rakhimov, 2022, IEEE Access.

On an iterative algorithm for calculating weighted principal components

Evgeny Burnaev, S. S. Chernova, Evgeny Burnaev, 2015 .

Representation Topology Divergence: A Method for Comparing Neural Network Representations

I. Trofimov, Evgeny Burnaev, S. Barannikov, 2021, ICML.

QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise

I. Trofimov, Evgeny Burnaev, A. Zaytsev, 2022, ArXiv.

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia pdf

Evgeny Burnaev, Alexander Bernstein, Ekaterina Kondrateva, 2020, Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics.

Topological obstructions in neural networks learning

I. Trofimov, Evgeny Burnaev, S. Barannikov, 2020, ArXiv.

Barcodes as summary of objective function's topology pdf

Evgeny Burnaev, Serguei Barannikov, Alexander Korotin, 2019, ArXiv.

Gaussian Process Regression for Structured Data Sets

Evgeny Burnaev, Mikhail Belyaev, Yermek Kapushev, 2015, SLDS.

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs

Evgeny Burnaev, G. Pammer, A. Kolesov, 2023, ArXiv.

Extremal Domain Translation with Neural Optimal Transport

Daniil Selikhanovych, Evgeny Burnaev, Alexander Korotin, 2023, NeurIPS.

Neural Optimal Transport with General Cost Functionals

Evgeny Burnaev, Arip Asadulaev, Alexander Korotin, 2022, ArXiv.

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Evgeny Burnaev, D. Cherniavskii, S. Barannikov, 2023, NeurIPS.

Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks

Evgeny Burnaev, Rodrigo Rivera-Castro, I. Maksimov, 2020, 2020 IEEE International Conference on Big Data (Big Data).

DEF

D. Zorin, Daniele Panozzo, Evgeny Burnaev, 2020, ACM Trans. Graph..

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes pdf

Daniele Panozzo, Evgeny Burnaev, Denis Zorin, 2020, ArXiv.

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes

D. Zorin, Daniele Panozzo, Evgeny Burnaev, 2021 .

Time-series classification for industrial applications: a brake pad wear prediction use case

Evgeny Burnaev, Evgeny Burnaev, 2020, IOP Conference Series: Materials Science and Engineering.