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 (EMNLP (Findings), 2022)

Learning topology-preserving data representations. - Ilya Trofimov; Daniil Cherniavskii; Eduard Tulchinskii; Nikita Balabin; Evgeny Burnaev; Serguei Barannikov (ICLR, 2023)

Topological Data Analysis for Speech Processing. - Eduard Tulchinskii; Kristian Kuznetsov; Laida Kushnareva; Daniil Cherniavskii; Serguei Barannikov; Irina Piontkovskaya; Sergey I. Nikolenko; Evgeny Burnaev (INTERSPEECH, 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 (NeurIPS, 2023)

Scalar Function Topology Divergence: Comparing Topology of 3D Objects. - Ilya Trofimov; Daria Voronkova; Eduard Tulchinskii; Evgeny Burnaev; Serguei Barannikov (ECCV (88), 2024)

Robust AI-Generated Text Detection by Restricted Embeddings. - Kristian Kuznetsov; Eduard Tulchinskii; Laida Kushnareva; German Magai; Serguei Barannikov; Sergey I. Nikolenko; Irina Piontkovskaya (EMNLP (Findings), 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)

RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks. - Eduard Tulchinskii; Daria Voronkova; Ilya Trofimov; Evgeny Burnaev; Serguei Barannikov (AISTATS, 2025)

Quantifying Logical Consistency in Transformers via Query-Key Alignment. - Eduard Tulchinskii; Anastasia Voznyuk; Laida Kushnareva; Andrei Andriiainen; Irina Piontkovskaya; Evgeny Burnaev; Serguei Barannikov (CoRR, 2025)