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)

Laplace Inference for Multi-fidelity Gaussian Process Classification. - Nikita Klyuchnikov; Evgeny Burnaev (CoRR, 2018)

Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging. - Nikita Klyuchnikov; Davide Mottin; Georgia Koutrika; Emmanuel Müller; Panagiotis Karras (KDD, 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)

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)

Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament. - Alexander Korotin; Anton Stepanov; Andrey Lange; Dmitry Nikolaev 004; Simon Abramov; Nikita Klyuchnikov; Evgeny Burnaev; Andrey Somov (SmartCity360°, 2020)

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. - Nikita Klyuchnikov; Ilya Trofimov; Ekaterina Artemova; Mikhail Salnikov; Maxim V. Fedorov; Evgeny Burnaev (CoRR, 2020)

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers. - Ivan Fursov; Alexey Zaytsev 002; Nikita Kluchnikov; Andrey Kravchenko; Eugeny Burnaev (CoRR, 2020)

Gaussian process classification for variable fidelity data. - Nikita Klyuchnikov; Evgeny Burnaev (Neurocomputing, 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)

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)

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)

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. - Nikita Klyuchnikov; Ilya Trofimov; Ekaterina Artemova; Mikhail Salnikov; Maxim V. Fedorov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2022)

Forecasting the abnormal events at well drilling with machine learning. - Ekaterina Gurina; Nikita Klyuchnikov; Ksenia Antipova; Dmitry A. Koroteev (Appl. Intell., 2022)

Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents. - Ekaterina Gurina; Nikita Klyuchnikov; Ksenia Antipova; Dmitry A. Koroteev (CoRR, 2022)

Multi-Fidelity Neural Architecture Search With Knowledge Distillation. - Ilya Trofimov; Nikita Klyuchnikov; Mikhail Salnikov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2023)

An autoencoder for compressing angle-resolved photoemission spectroscopy data. - Steinn Ymir Agustsson; Mohammad Ahsanul Haque; Tam T. Truong; Marco Bianchi 005; Nikita Klyuchnikov; Davide Mottin; Panagiotis Karras; Philip Hofmann (Mach. Learn. Sci. Technol., 2025)