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ORCIDAlexey Zaytsev 0002
Person information
- affiliation: Skolkovo Institute of Science and Technology, Moscow, Russia
Other persons with the same name
- Alexey Zaytsev 0001 — Immanuel Kant Baltic Federal University, Kaliningrad, Russia (and 2 more)
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Journal Articles
- 2023
[j7]Alexander Marusov
, Alexey Zaytsev:
Noncontrastive Representation Learning for Intervals From Well Logs. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)- 2022
- [j6]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: 17966-17976 (2022) - [j5]Ivan Fursov, Elizaveta Kovtun, Rodrigo Rivera-Castro, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeny Burnaev:
Sequence Embeddings Help Detect Insurance Fraud. IEEE Access 10: 32060-32074 (2022) - [j4]Roman Kail, Evgeny Burnaev, Alexey Zaytsev:
Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2020
- [j3]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): 1861-1865 (2020) - 2017
- [j2]Alexey Zaytsev, Evgeny Burnaev:
Large scale variable fidelity surrogate modeling. Ann. Math. Artif. Intell. 81(1-2): 167-186 (2017) - 2013
- [j1]Alexey A. Zaitsev, Evgeny V. Burnaev, Vladimir G. Spokoiny:
Properties of the posterior distribution of a regression model based on Gaussian random fields. Autom. Remote. Control. 74(10): 1645-1655 (2013)
Conference and Workshop Papers
- 2023
- [c16]Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy:
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. BMVC 2023: 311-313 - [c15]Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov:
ScaleFace: Uncertainty-aware Deep Metric Learning. DSAA 2023: 1-10 - [c14]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: 1247-1258 - 2022
- [c13]Ilya Shashkov, Alexey Zaytsev, Nikita Balabin, Evgeny Burnaev:
Transfer learning for ensembles: reducing computation time and keeping the diversity. AIPR 2022: 8-13 - [c12]Polina Proskura, Alexey Zaytsev:
Effective Training-Time Stacking for Ensembling of Deep Neural Networks. AIPR 2022: 78-82 - [c11]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: 3138-3163 - [c10]Evgenia Romanenkova, Alexander Stepikin, Matvey Morozov, Alexey Zaytsev:
InDiD: Instant Disorder Detection via a Principled Neural Network. ACM Multimedia 2022: 3152-3162 - 2021
- [c9]Maria Begicheva, Alexey Zaytsev:
Bank transactions embeddings help to uncover current macroeconomics. ICMLA 2021: 1742-1748 - [c8]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: 2868-2878 - 2020
- [c7]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: 356-368 - [c6]Victoria Snorovikhina, Alexey Zaytsev:
Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data. AIST 2020: 391-403 - 2019
- [c5]Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev:
Usage of Multiple RTL Features for Earthquakes Prediction. ICCSA (1) 2019: 556-565 - 2018
- [c4]Alexey Zaytsev, Evgenya Romanenkova, Dmitry Ermilov:
Interpolation error of Gaussian process regression for misspecified case. COPA 2018: 83-95 - 2017
- [c3]Alexey Zaytsev, Evgeny Burnaev:
Minimax Approach to Variable Fidelity Data Interpolation. AISTATS 2017: 652-661 - [c2]Nataliia Kozlovskaia, Alexey Zaytsev:
Deep Ensembles for Imbalanced Classification. ICMLA 2017: 908-913 - 2016
- [c1]Alexey Zaytsev:
Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification. COPA 2016: 147-164
Informal and Other Publications
- 2024
- [i42]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 abs/2402.09766 (2024) - [i41]Polina Proskura, Alexey Zaytsev:
Diversity-Aware Ensembling of Language Models Based on Topological Data Analysis. CoRR abs/2402.14184 (2024) - [i40]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 abs/2404.02047 (2024) - 2023
- [i39]Leonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev:
Uncertainty estimation for time series forecasting via Gaussian process regression surrogates. CoRR abs/2302.02834 (2023) - [i38]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 abs/2302.06247 (2023) - [i37]Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev:
Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention. CoRR abs/2303.00280 (2023) - [i36]Petr Sokerin, Kristian Kuznetsov, Elizaveta Makhneva, Alexey Zaytsev:
Portfolio Selection via Topological Data Analysis. CoRR abs/2308.07944 (2023) - [i35]Elizaveta Kovtun, Alina Ermilova, Dmitry Berestnev, Alexey Zaytsev:
Hiding Backdoors within Event Sequence Data via Poisoning Attacks. CoRR abs/2308.10201 (2023) - [i34]Elizaveta Kostenok, Daniil Cherniavskii, Alexey Zaytsev:
Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices. CoRR abs/2308.11295 (2023) - [i33]Boris Prokhorov, Diana Koldasbayeva, Alexey Zaytsev:
Correcting sampling biases via importance reweighting for spatial modeling. CoRR abs/2309.04824 (2023) - [i32]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 abs/2309.06212 (2023) - [i31]Pavel Burnyshev, Elizaveta Kostenok, Alexey Zaytsev:
Machine Translation Models Stand Strong in the Face of Adversarial Attacks. CoRR abs/2309.06527 (2023) - [i30]Anastasiia Prutianova, Alexey Zaytsev, Chung-Kuei Lee, Fengyu Sun, Ivan Koryakovskiy:
RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. CoRR abs/2311.05317 (2023) - [i29]Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev, Anna Petrovskaia, Evgeny Burnaev:
Challenges in data-based geospatial modeling for environmental research and practice. CoRR abs/2311.11057 (2023) - 2022
- [i28]Evgenia Romanenkova, Alina Rogulina, Anuar Shakirov, Nikolay Stulov, Alexey Zaytsev, Leyla S. Ismailova, Dmitry Kovalev, Klemens Katterbauer, Abdallah A. AlShehri:
Similarity learning for wells based on logging data. CoRR abs/2202.05583 (2022) - [i27]Maksim Velikanov, Roman Kail, Ivan Anokhin, Roman Vashurin, Maxim Panov, Alexey Zaytsev, Dmitry Yarotsky:
Embedded Ensembles: Infinite Width Limit and Operating Regimes. CoRR abs/2202.12297 (2022) - [i26]Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev:
Deep learning model solves change point detection for multiple change types. CoRR abs/2204.07403 (2022) - [i25]Anna Dmitrienko, Evgenia Romanenkova, Alexey Zaytsev:
Usage of specific attention improves change point detection. CoRR abs/2204.08175 (2022) - [i24]Gleb Bazhenov, Sergei Ivanov, Maxim Panov, Alexey Zaytsev, Evgeny Burnaev:
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective. CoRR abs/2206.10691 (2022) - [i23]Ilya Shashkov, Nikita Balabin, Evgeny Burnaev, Alexey Zaytsev:
Transfer learning for ensembles: reducing computation time and keeping the diversity. CoRR abs/2206.13116 (2022) - [i22]Polina Proscura, Alexey Zaytsev:
Effective training-time stacking for ensembling of deep neural networks. CoRR abs/2206.13491 (2022) - [i21]Vsevolod Grabar, Yury Maximov, Alexey Zaytsev:
Predicting spatial distribution of Palmer Drought Severity Index. CoRR abs/2208.14833 (2022) - [i20]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 abs/2208.14839 (2022) - [i19]Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov:
ScaleFace: Uncertainty-aware Deep Metric Learning. CoRR abs/2209.01880 (2022) - [i18]Sergey Egorov, Narek Gevorgyan, Alexey Zaytsev:
Self-supervised similarity models based on well-logging data. CoRR abs/2209.12444 (2022) - [i17]Alexander Marusov, Valerii Baianov, Alexey Zaytsev:
Non-contrastive approaches to similarity learning: positive examples are all you need. CoRR abs/2209.14750 (2022) - [i16]Alina Rogulina, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev:
Unsupervised construction of representations for oil wells via Transformers. CoRR abs/2212.14246 (2022) - 2021
- [i15]Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya, Liliya Mironova, Alexey Zaytsev, Evgeny Burnaev:
COHORTNEY: Deep Clustering for Heterogeneous Event Sequences. CoRR abs/2104.01440 (2021) - [i14]Evgenia Romanenkova, Alexey Zaytsev, Ramil Zainulin, Matvey Morozov:
Principled change point detection via representation learning. CoRR abs/2106.02602 (2021) - [i13]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 abs/2106.08361 (2021) - [i12]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 abs/2107.11275 (2021) - [i11]Maria Begicheva, Alexey Zaytsev:
Bank transactions embeddings help to uncover current macroeconomics. CoRR abs/2110.12000 (2021) - 2020
- [i10]Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev:
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world. CoRR abs/2003.04173 (2020) - [i9]Roman Kail, Alexey Zaytsev, Evgeny Burnaev:
Recurrent Convolutional Neural Networks help to predict location of Earthquakes. CoRR abs/2004.09140 (2020) - [i8]Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Eugeny Burnaev:
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. CoRR abs/2006.11078 (2020) - [i7]Victoria Snorovikhina, Alexey Zaytsev:
Unsupervised anomaly detection for discrete sequence healthcare data. CoRR abs/2007.10098 (2020) - 2019
- [i6]Leonid Matyushin, Alexey Zaytsev, Oleg Alenkin, Andrey Ustuzhanin:
Multifidelity Bayesian Optimization for Binomial Output. CoRR abs/1902.06937 (2019) - [i5]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 abs/1903.11436 (2019) - [i4]Polina Proskura, Alexey Zaytsev, I. Braslavsky, Evgenii Egorov, Evgeny Burnaev:
Usage of multiple RTL features for Earthquake prediction. CoRR abs/1905.10805 (2019) - [i3]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 abs/1906.02667 (2019) - [i2]Ivan Fursov, Alexey Zaytsev, Rasul Khasyanov, Martin Spindler, Evgeniy Burnaev:
Sequence embeddings help to identify fraudulent cases in healthcare insurance. CoRR abs/1910.03072 (2019) - 2018
- [i1]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 abs/1806.03218 (2018)
Coauthor Index
aka: Evgenia Romanenkova
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