Alexey Zaytsev

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 66

Top Topics

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey Savchenko, Alexey Zaytsev
From Variability to Stability: Advancing RecSys Benchmarking Practices. CoRR (2024)
Alina Ermilova, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev
Robust Representation Learning via Sparse Attention Mechanism for Similarity Models. IEEE Access 12 (2024)
Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey Savchenko, Alexey Zaytsev
From Variability to Stability: Advancing RecSys Benchmarking Practices. KDD (2024)
Polina Proskura, Alexey Zaytsev
Diversity-Aware Ensembling of Language Models Based on Topological Data Analysis. CoRR (2024)
Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Alexandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey V. Savchenko, Alexey Zaytsev
Universal representations for financial transactional data: embracing local, global, and external contexts. CoRR (2024)
Alexander Marusov, Vsevolod Grabar, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
Long-term drought prediction using deep neural networks based on geospatial weather data. Environ. Model. Softw. 179 (2024)
Elizaveta Kovtun, Alina Ermilova, Dmitry Berestnev, Alexey Zaytsev
Hiding Backdoors within Event Sequence Data via Poisoning Attacks. CoRR (2023)
Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. CoRR (2023)
Boris Prokhorov, Diana Koldasbayeva, Alexey Zaytsev
Correcting sampling biases via importance reweighting for spatial modeling. CoRR (2023)
Alexander Marusov, Alexey Zaytsev
Noncontrastive Representation Learning for Intervals From Well Logs. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev
Label Attention Network for sequential multi-label classification. CoRR (2023)
Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. BMVC (2023)
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev
Challenges in data-based geospatial modeling for environmental research and practice. CoRR (2023)
Vsevolod Grabar, Alexander Marusov, Yury Maximov, Nazar Sotiriadi, Alexander Bulkin, Alexey Zaytsev
Long-term drought prediction using deep neural networks based on geospatial weather data. CoRR (2023)
Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev
Machine Translation Models Stand Strong in the Face of Adversarial Attacks. CoRR (2023)
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
Continuous-time convolutions model of event sequences. CoRR (2023)
Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust. ICDM (Workshops) (2023)
Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev
Uncertainty estimation for time series forecasting via Gaussian process regression surrogates. CoRR (2023)
Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
ScaleFace: Uncertainty-aware Deep Metric Learning. DSAA (2023)
Petr Sokerin, Kristian Kuznetsov, Elizaveta Makhneva, Alexey Zaytsev
Portfolio Selection via Topological Data Analysis. CoRR (2023)
Polina Proscura, Alexey Zaytsev
Effective training-time stacking for ensembling of deep neural networks. CoRR (2022)
Alexander Marusov, Valerii Baianov, Alexey Zaytsev
Non-contrastive approaches to similarity learning: positive examples are all you need. CoRR (2022)
Polina Proskura, Alexey Zaytsev
Effective Training-Time Stacking for Ensembling of Deep Neural Networks. AIPR (2022)
Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
ScaleFace: Uncertainty-aware Deep Metric Learning. CoRR (2022)
Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
Deep learning model solves change point detection for multiple change types. CoRR (2022)
Ilya Shashkov, Nikita Balabin, Evgeny Burnaev, Alexey Zaytsev
Transfer learning for ensembles: reducing computation time and keeping the diversity. CoRR (2022)
Gleb Bazhenov, Sergei Ivanov, Maxim Panov, Alexey Zaytsev, Evgeny Burnaev
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. CoRR (2022)
Evgenia Romanenkova, Alexander Stepikin, Matvey Morozov, Alexey Zaytsev
InDiD: Instant Disorder Detection via a Principled Neural Network. ACM Multimedia (2022)
Ilya Shashkov, Alexey Zaytsev, Nikita Balabin, Evgeny Burnaev
Transfer learning for ensembles: reducing computation time and keeping the diversity. AIPR (2022)
Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
Embedded Ensembles: Infinite Width Limit and Operating Regimes. CoRR (2022)
Roman Kail, Evgeny Burnaev, Alexey Zaytsev
Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Vsevolod Grabar, Yury Maximov, Alexey Zaytsev
Predicting spatial distribution of Palmer Drought Severity Index. CoRR (2022)
Maksim Velikanov, Roman V. Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky
Embedded Ensembles: infinite width limit and operating regimes. AISTATS (2022)
Evgenia Romanenkova, Alina Rogulina, Anuar Shakirov, Nikolay Stulov, Alexey Zaytsev, Leyla S. Ismailova, Dmitry Kovalev, Klemens Katterbauer, Abdallah AlShehri
Similarity learning for wells based on logging data. CoRR (2022)
Sergey Egorov, Narek Gevorgyan, Alexey Zaytsev
Self-supervised similarity models based on well-logging data. CoRR (2022)
Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise. CoRR (2022)
Anna Dmitrienko, Evgenia Romanenkova, Alexey Zaytsev
Usage of specific attention improves change point detection. CoRR (2022)
Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev
Sequence Embeddings Help Detect Insurance Fraud. IEEE Access 10 (2022)
Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgenia Komleva, Evgeny Burnaev
A Differentiable Language Model Adversarial Attack on Text Classifiers. IEEE Access 10 (2022)
Alina Rogulina, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev
Unsupervised construction of representations for oil wells via Transformers. CoRR (2022)
Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR (2021)
Maria Begicheva, Alexey Zaytsev
Bank transactions embeddings help to uncover current macroeconomics. ICMLA (2021)
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
Adversarial Attacks on Deep Models for Financial Transaction Records. CoRR (2021)
Maria Begicheva, Alexey Zaytsev
Bank transactions embeddings help to uncover current macroeconomics. CoRR (2021)
Ivan Fursov, Alexey Zaytsev, Pavel Burnyshev, Ekaterina Dmitrieva, Nikita Klyuchnikov, Andrey Kravchenko, Ekaterina Artemova, Evgeny Burnaev
A Differentiable Language Model Adversarial Attack on Text Classifiers. CoRR (2021)
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun, Rodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey Zaytsev, Evgeny Burnaev
Adversarial Attacks on Deep Models for Financial Transaction Records. KDD (2021)
Evgenia Romanenkova, Alexey Zaytsev, Ramil Zainulin, Matvey Morozov
Principled change point detection via representation learning. CoRR (2021)
Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Victoria Snorovikhina, Alexey Zaytsev
Unsupervised anomaly detection for discrete sequence healthcare data. CoRR (2020)
Roman Kail, Alexey Zaytsev, Evgeny Burnaev
Recurrent Convolutional Neural Networks help to predict location of Earthquakes. CoRR (2020)
Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. CoRR (2020)
Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev
Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World. AIST (2020)
Victoria Snorovikhina, Alexey Zaytsev
Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data. AIST (2020)
Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Eugeny Burnaev
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. CoRR (2020)
Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry A. Koroteev
Failures detection at directional drilling using real-time analogues search. CoRR (2019)
Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev
Real-time data-driven detection of the rock type alteration during a directional drilling. CoRR (2019)
P. Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev
Usage of multiple RTL features for Earthquake prediction. CoRR (2019)
Ivan Fursov, Alexey Zaytsev, R. Khasyanov, M. Spindler, Evgeniy Burnaev
Sequence embeddings help to identify fraudulent cases in healthcare insurance. CoRR (2019)
Leonid Matyushin, Alexey Zaytsev, Oleg Alenkin, Andrey Ustuzhanin
Multifidelity Bayesian Optimization for Binomial Output. CoRR (2019)
P. Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev
Usage of Multiple RTL Features for Earthquakes Prediction. ICCSA (1) (2019)
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
Data-driven model for the identification of the rock type at a drilling bit. CoRR (2018)
Alexey Zaytsev, Evgenya Romanenkova, Dmitry Ermilov
Interpolation error of Gaussian process regression for misspecified case. COPA (2018)
Alexey Zaytsev, Evgeny Burnaev
Large scale variable fidelity surrogate modeling. Ann. Math. Artif. Intell. 81 (1-2) (2017)
Nataliia Kozlovskaia, Alexey Zaytsev
Deep Ensembles for Imbalanced Classification. ICMLA (2017)
Alexey Zaytsev, Evgeny Burnaev
Minimax Approach to Variable Fidelity Data Interpolation. AISTATS (2017)
Alexey Zaytsev
Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification. COPA (2016)