Serguei Barannikov

According to our database, Serguei Barannikov authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA.

Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov

CoRR, 2024

Improving Interpretability and Robustness for the Detection of AI-Generated Images.

Tatiana Gaintseva, Laida Kushnareva, German Magai, Irina Piontkovskaya, Sergey I. Nikolenko, Martin Benning, Serguei Barannikov, Gregory G. Slabaugh

CoRR, 2024

Disentanglement Learning via Topology.

Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust AI-Generated Text Detection by Restricted Embeddings.

Kristian Kuznetsov, Eduard Tulchinskii, Laida Kushnareva, German Magai, Serguei Barannikov, Sergey I. Nikolenko, Irina Piontkovskaya

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Scalar Function Topology Divergence: Comparing Topology of 3D Objects.

Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Artificial Text Boundary Detection with Topological Data Analysis and Sliding Window Techniques.

Laida Kushnareva, Tatiana Gaintseva, German Magai, Serguei Barannikov, Dmitry Abulkhanov, Kristian Kuznetsov, Irina Piontkovskaya, Sergey I. Nikolenko

CoRR, 2023

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts.

Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Sergey I. Nikolenko, Evgeny Burnaev, Serguei Barannikov, Irina Piontkovskaya

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Topological Data Analysis for Speech Processing.

Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Learning topology-preserving data representations.

Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Representation Topology Divergence: A Method for Comparing Neural Network Representations.

Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev

Proceedings of the International Conference on Machine Learning, 2022

Acceptability Judgements via Examining the Topology of Attention Maps.

Daniil Cherniavskii, Eduard Tulchinskii, Vladislav Mikhailov, Irina Proskurina, Laida Kushnareva, Ekaterina Artemova, Serguei Barannikov, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Manifold Topology Divergence: a Framework for Comparing Data Manifolds.

Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Homological assessment of data representations.

Serguei Barannikov, Evgeny Burnaev

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Artificial Text Detection via Examining the Topology of Attention Maps.

Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Topological obstructions in neural networks learning.

Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev

CoRR, 2020

2019

Barcodes as summary of objective function's topology.

Serguei Barannikov, Alexander Korotin, Dmitry Oganesyan, Daniil Emtsev, Evgeny Burnaev

CoRR, 2019