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)

Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification. - Alexey Zaytsev 002 (COPA, 2016)

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

Deep Ensembles for Imbalanced Classification. - Nataliia Kozlovskaia; Alexey Zaytsev 002 (ICMLA, 2017)

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

Interpolation error of Gaussian process regression for misspecified case. - Alexey Zaytsev 002; Evgenya Romanenkova; Dmitry Ermilov (COPA, 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)

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

Multifidelity Bayesian Optimization for Binomial Output. - Leonid Matyushin; Alexey Zaytsev 002; Oleg Alenkin; Andrey Ustuzhanin (CoRR, 2019)

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

Failures detection at directional drilling using real-time analogues search. - Ekaterina Gurina; Nikita Klyuchnikov; Alexey Zaytsev 002; Evgenya Romanenkova; Ksenia Antipova; Igor Simon; Victor Makarov; Dmitry A. Koroteev (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)

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)

Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data. - Victoria Snorovikhina; Alexey Zaytsev 002 (AIST, 2020)

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

Bank transactions embeddings help to uncover current macroeconomics. - Maria Begicheva; Alexey Zaytsev 002 (ICMLA, 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)

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

Principled change point detection via representation learning. - Evgenia Romanenkova; Alexey Zaytsev 002; Ramil Zainulin; Matvey Morozov (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)

Effective Training-Time Stacking for Ensembling of Deep Neural Networks. - Polina Proskura; Alexey Zaytsev 002 (AIPR, 2022)

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

Embedded Ensembles: infinite width limit and operating regimes. - Maksim Velikanov; Roman V. Kail; Ivan Anokhin; Roman Vashurin; Maxim Panov; Alexey Zaytsev 002; Dmitry Yarotsky (AISTATS, 2022)

InDiD: Instant Disorder Detection via a Principled Neural Network. - Evgenia Romanenkova; Alexander Stepikin; Matvey Morozov; Alexey Zaytsev 002 (ACM Multimedia, 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)

Similarity learning for wells based on logging data. - Evgenia Romanenkova; Alina Rogulina; Anuar Shakirov; Nikolay Stulov; Alexey Zaytsev 002; Leyla S. Ismailova; Dmitry Kovalev; Klemens Katterbauer; Abdallah A. AlShehri (CoRR, 2022)

Deep learning model solves change point detection for multiple change types. - Alexander Stepikin; Evgenia Romanenkova; Alexey Zaytsev 002 (CoRR, 2022)

Usage of specific attention improves change point detection. - Anna Dmitrienko; Evgenia Romanenkova; Alexey Zaytsev 002 (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)

Effective training-time stacking for ensembling of deep neural networks. - Polina Proscura; Alexey Zaytsev 002 (CoRR, 2022)

Predicting spatial distribution of Palmer Drought Severity Index. - Vsevolod Grabar; Yury Maximov; Alexey Zaytsev 002 (CoRR, 2022)

Self-supervised similarity models based on well-logging data. - Sergey Egorov; Narek Gevorgyan; Alexey Zaytsev 002 (CoRR, 2022)

Non-contrastive approaches to similarity learning: positive examples are all you need. - Alexander Marusov; Valerii Baianov; Alexey Zaytsev 002 (CoRR, 2022)

Unsupervised construction of representations for oil wells via Transformers. - Alina Rogulina; Nikita Baramiia; Valerii Kornilov; Sergey Petrakov; Alexey Zaytsev 002 (CoRR, 2022)

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

Machine Translation Models Stand Strong in the Face of Adversarial Attacks. - Pavel Burnyshev; Elizaveta Kostenok; Alexey Zaytsev 002 (AIST (Supplement), 2023)

RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures. - Anastasiia Prutianova; Alexey Zaytsev 002; Chung-Kuei Lee; Fengyu Sun; Ivan Koryakovskiy (BMVC, 2023)

ScaleFace: Uncertainty-aware Deep Metric Learning. - Roman Kail; Kirill Fedyanin; Nikita Muravev; Alexey Zaytsev 002; Maxim Panov (DSAA, 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 002 (ICDM (Workshops), 2023)

Portfolio selection via topological data analysis. - Petr Sokerin; Kristian Kuznetsov; Elizaveta Makhneva; Alexey Zaytsev 002 (ICMV, 2023)

Uncertainty estimation for time series forecasting via Gaussian process regression surrogates. - Leonid Erlygin; Vladimir Zholobov; Valeriia Baklanova; Evgeny Sokolovskiy; Alexey Zaytsev 002 (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)

Hiding Backdoors within Event Sequence Data via Poisoning Attacks. - Elizaveta Kovtun; Alina Ermilova; Dmitry Berestnev; Alexey Zaytsev 002 (CoRR, 2023)

Uncertainty Estimation of Transformers' Predictions via Topological Analysis of the Attention Matrices. - Elizaveta Kostenok; Daniil Cherniavskii; Alexey Zaytsev 002 (CoRR, 2023)

Correcting sampling biases via importance reweighting for spatial modeling. - Boris Prokhorov; Diana Koldasbayeva; Alexey Zaytsev 002 (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)

Noncontrastive Representation Learning for Intervals From Well Logs. - Alexander Marusov; Alexey Zaytsev 002 (IEEE Geosci. Remote. Sens. Lett., 2023)

Uniting Contrastive and Generative Learning for Event Sequences Models. - Aleksandr Yugay; Alexey Zaytsev 002 (AIST, 2024)

Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting. - Polina Proskura; Alexey Zaytsev 002 (DSAA, 2024)

Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention. - Elizaveta Kovtun; Galina Boeva; Andrey Shulga; Alexey Zaytsev 002 (ECAI, 2024)

Normalizing Self-Supervised Learning for Provably Reliable Change Point Detection. - Alexandra Bazarova; Evgenia Romanenkova; Alexey Zaytsev 002 (ICDM, 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 002 (KDD, 2024)

Robust Representation Learning via Sparse Attention Mechanism for Similarity Models. - Alina Ermilova; Nikita Baramiia; Valerii Kornilov; Sergey Petrakov; Alexey Zaytsev 002 (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)

Diversity-Aware Ensembling of Language Models Based on Topological Data Analysis. - Polina Proskura; Alexey Zaytsev 002 (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 002 (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 002 (CoRR, 2024)

Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition. - Leonid Erlygin; Alexey Zaytsev 002 (CoRR, 2024)

Collusion Detection with Graph Neural Networks. - Lucas Gomes; Jannis Kueck; Mara Mattes; Martin Spindler; Alexey Zaytsev 002 (CoRR, 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 002 (Environ. Model. Softw., 2024)

Improving Uncertainty Estimation with Confidence-Aware Training Data. - Sergey Korchagin; Ekaterina Zaychenkova; Aleksei Khalin; Aleksandr Yugay; Alexey Zaytsev 002; Egor I. Ershov (WACV, 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)

Learning transactions representations for information management in banks: Mastering local, global, and external knowledge. - Alexandra Bazarova; Maria Kovaleva; Ilya Kuleshov; Evgenia Romanenkova; Alexander Stepikin; Aleksandr Yugay; Dzhambulat Mollaev; Ivan Kireev; Andrey V. Savchenko; Alexey Zaytsev 002 (Int. J. Inf. Manag. Data Insights, 2025)

Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling. - Diana Koldasbayeva; Alexey Zaytsev 002 (CoRR, 2025)

When an LLM is apprehensive about its answers - and when its uncertainty is justified. - Petr Sychev; Andrey Goncharov 002; Daniil Vyazhev; Edvard A. Khalafyan; Alexey Zaytsev 002 (CoRR, 2025)

Hallucination Detection in LLMs via Topological Divergence on Attention Graphs. - Alexandra Bazarova; Aleksandr Yugay; Andrey Shulga; Alina Ermilova; Andrei V. Sokolov; Konstantin Polev; Julia Belikova; Rauf Parchiev; Dmitry Simakov; Maxim Savchenko; Andrey V. Savchenko; Serguei Barannikov; et al. (CoRR, 2025)

Never Skip a Batch: Continuous Training of Temporal GNNs via Adaptive Pseudo-Supervision. - Alexander Panyshev; Dmitry Vinichenko; Oleg Travkin; Roman Alferov; Alexey Zaytsev 002 (CoRR, 2025)

AdUE: Improving uncertainty estimation head for LoRA adapters in LLMs. - Artem Zabolotnyi; Roman Makarov; Mile Mitrovic; Polina Proskura; Oleg Travkin; Roman Alferov; Alexey Zaytsev 002 (CoRR, 2025)

WWAggr: A Window Wasserstein-based Aggregation for Ensemble Change Point Detection. - Alexander Stepikin; Evgenia Romanenkova; Alexey Zaytsev 002 (CoRR, 2025)

A theoretical framework for self-supervised contrastive learning for continuous dependent data. - Alexander Marusov; Alexander Yuhay; Alexey Zaytsev 002 (CoRR, 2025)

Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs. - Rodion Oblovatny; Alexandra Bazarova; Alexey Zaytsev 002 (CoRR, 2025)

Complexity-aware fine-tuning. - Andrey Goncharov 002; Daniil Vyazhev; Petr Sychev; Edvard A. Khalafyan; Alexey Zaytsev 002 (CoRR, 2025)