Alexey Zaytsev

According to our database, Alexey Zaytsev authored at least 62 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Long-term drought prediction using deep neural networks based on geospatial weather data.

Alexander Marusov, Vsevolod Grabar, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev

Environ. Model. Softw., 2024

Normalizing self-supervised learning for provably reliable Change Point Detection.

Alexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev

CoRR, 2024

Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition.

Leonid Erlygin, Alexey Zaytsev

CoRR, 2024

Uniting contrastive and generative learning for event sequences models.

Aleksandr Yugay, Alexey Zaytsev

CoRR, 2024

COTODE: COntinuous Trajectory neural Ordinary Differential Equations for modelling event sequences.

Ilya Kuleshov, Galina Boeva, Vladislav Zhuzhel, Evgenia Romanenkova, Evgeni Vorsin, Alexey Zaytsev

CoRR, 2024

Universal representations for financial transactional data: embracing local, global, and external contexts.

Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev

CoRR, 2024

Diversity-Aware Ensembling of Language Models Based on Topological Data Analysis.

Polina Proskura, Alexey Zaytsev

CoRR, 2024

QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise.

Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev

IEEE Access, 2024

Robust Representation Learning via Sparse Attention Mechanism for Similarity Models.

Alina Ermilova, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev

IEEE Access, 2024

From Variability to Stability: Advancing RecSys Benchmarking Practices.

Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey V. Savchenko, Alexey Zaytsev

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention.

Elizaveta Kovtun, Galina Boeva, Andrey Shulga, Alexey Zaytsev

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting.

Polina Proskura, Alexey Zaytsev

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Noncontrastive Representation Learning for Intervals From Well Logs.

Alexander Marusov, Alexey Zaytsev

IEEE Geosci. Remote. Sens. Lett., 2023

Challenges in data-based geospatial modeling for environmental research and practice.

Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev

CoRR, 2023

Correcting sampling biases via importance reweighting for spatial modeling.

Boris Prokhorov, Diana Koldasbayeva, Alexey Zaytsev

CoRR, 2023

Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices.

Elizaveta Kostenok, Daniil Cherniavskii, Alexey Zaytsev

CoRR, 2023

Hiding Backdoors within Event Sequence Data via Poisoning Attacks.

Elizaveta Kovtun, Alina Ermilova, Dmitry Berestnev, Alexey Zaytsev

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

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

CoRR, 2023

Uncertainty estimation for time series forecasting via Gaussian process regression surrogates.

Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev

CoRR, 2023

Portfolio selection via topological data analysis.

Petr Sokerin, Kristian Kuznetsov, Elizaveta Makhneva, Alexey Zaytsev

Proceedings of the Sixteenth International Conference on Machine Vision, 2023

Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust.

Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev

Proceedings of the IEEE International Conference on Data Mining, 2023

ScaleFace: Uncertainty-aware Deep Metric Learning.

Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures.

Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Machine Translation Models Stand Strong in the Face of Adversarial Attacks.

Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2023

2022

Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes.

Roman Kail, Evgeny Burnaev, Alexey Zaytsev

IEEE Geosci. Remote. Sens. Lett., 2022

Unsupervised construction of representations for oil wells via Transformers.

Alina Rogulina, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev

CoRR, 2022

Non-contrastive approaches to similarity learning: positive examples are all you need.

Alexander Marusov, Valerii Baianov, Alexey Zaytsev

CoRR, 2022

Self-supervised similarity models based on well-logging data.

Sergey Egorov, Narek Gevorgyan, Alexey Zaytsev

CoRR, 2022

Predicting spatial distribution of Palmer Drought Severity Index.

Vsevolod Grabar, Yury Maximov, Alexey Zaytsev

CoRR, 2022

Effective training-time stacking for ensembling of deep neural networks.

Polina Proscura, Alexey Zaytsev

CoRR, 2022

Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective.

Gleb Bazhenov, Sergei Ivanov, Maxim Panov, Alexey Zaytsev, Evgeny Burnaev

CoRR, 2022

Usage of specific attention improves change point detection.

Anna Dmitrienko, Evgenia Romanenkova, Alexey Zaytsev

CoRR, 2022

Deep learning model solves change point detection for multiple change types.

Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev

CoRR, 2022

Similarity learning for wells based on logging data.

Evgenia Romanenkova, Alina Rogulina, Anuar Shakirov, Nikolay Stulov, Alexey Zaytsev, Leyla S. Ismailova, Dmitry Kovalev, Klemens Katterbauer, Abdallah A. AlShehri

CoRR, 2022

A Differentiable Language Model Adversarial Attack on Text Classifiers.

Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgenia Komleva, Evgeny Burnaev

IEEE Access, 2022

Sequence Embeddings Help Detect Insurance Fraud.

Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev

IEEE Access, 2022

InDiD: Instant Disorder Detection via a Principled Neural Network.

Evgenia Romanenkova, Alexander Stepikin, Matvey Morozov, Alexey Zaytsev

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Embedded Ensembles: infinite width limit and operating regimes.

Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Transfer learning for ensembles: reducing computation time and keeping the diversity.

Ilya Shashkov, Alexey Zaytsev, Nikita Balabin, Evgeny Burnaev

Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

Effective Training-Time Stacking for Ensembling of Deep Neural Networks.

Polina Proskura, Alexey Zaytsev

Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021

A Differentiable Language Model Adversarial Attack on Text Classifiers.

Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev

CoRR, 2021

Principled change point detection via representation learning.

Evgenia Romanenkova, Alexey Zaytsev, Ramil Zainulin, Matvey Morozov

CoRR, 2021

COHORTNEY: Deep Clustering for Heterogeneous Event Sequences.

Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev

CoRR, 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, Evgeny Burnaev

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Bank transactions embeddings help to uncover current macroeconomics.

Maria Begicheva, Alexey Zaytsev

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling.

Evgenya Romanenkova, Alexey Zaytsev, 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

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers.

Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Eugeny Burnaev

CoRR, 2020

Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data.

Victoria Snorovikhina, Alexey Zaytsev

Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World.

Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev

Proceedings of the Analysis of Images, Social Networks and Texts, 2020

2019

Sequence embeddings help to identify fraudulent cases in healthcare insurance.

Ivan Fursov, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeniy Burnaev

CoRR, 2019

Failures detection at directional drilling using real-time analogues search.

Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev

CoRR, 2019

Usage of multiple RTL features for Earthquake prediction.

Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev

CoRR, 2019

Multifidelity Bayesian Optimization for Binomial Output.

Leonid Matyushin, Alexey Zaytsev, Oleg Alenkin, Andrey Ustuzhanin

CoRR, 2019

Usage of Multiple RTL Features for Earthquakes Prediction.

Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018

Data-driven model for the identification of the rock type at a drilling bit.

Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla S. Ismailova, Ekaterina A. Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry A. Koroteev

CoRR, 2018

Interpolation error of Gaussian process regression for misspecified case.

Alexey Zaytsev, Evgenya Romanenkova, Dmitry Ermilov

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017

Large scale variable fidelity surrogate modeling.

Alexey Zaytsev, Evgeny Burnaev

Ann. Math. Artif. Intell., 2017

Deep Ensembles for Imbalanced Classification.

Nataliia Kozlovskaia, Alexey Zaytsev

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Minimax Approach to Variable Fidelity Data Interpolation.

Alexey Zaytsev, Evgeny Burnaev

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification.

Alexey Zaytsev

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

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