Nikita Klyuchnikov

According to our database, Nikita Klyuchnikov authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

An autoencoder for compressing angle-resolved photoemission spectroscopy data.

Steinn Ymir Agustsson, Mohammad Ahsanul Haque, Tam T. Truong, Marco Bianchi, Nikita Klyuchnikov, Davide Mottin, Panagiotis Karras, Philip Hofmann

CoRR, 2024

2023

Multi-Fidelity Neural Architecture Search With Knowledge Distillation.

Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev

IEEE Access, 2023

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

Forecasting the abnormal events at well drilling with machine learning.

Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry A. Koroteev

Appl. Intell., 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

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

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

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

Gaussian process classification for variable fidelity data.

Nikita Klyuchnikov, Evgeny Burnaev

Neurocomputing, 2020

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers.

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

CoRR, 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

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, Simon Abramov, Nikita Klyuchnikov, Evgeny Burnaev, Andrey Somov

Proceedings of the Science and Technologies for Smart Cities, 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

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

Figuring out the User in a Few Steps: Bayesian Multifidelity Active Search with Cokriging.

Nikita Klyuchnikov, Davide Mottin, Georgia Koutrika, Emmanuel Müller, Panagiotis Karras

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Laplace Inference for Multi-fidelity Gaussian Process Classification.

Nikita Klyuchnikov, Evgeny Burnaev

CoRR, 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