Alexander Panfilov

According to our database, Alexander Panfilov authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Capability-Based Scaling Laws for LLM Red-Teaming.

Alexander Panfilov, Paul Kassianik, Maksym Andriushchenko, Jonas Geiping

CoRR, May, 2025

ASIDE: Architectural Separation of Instructions and Data in Language Models.

Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Soroush Tabesh, Alexandra Volkova, Sebastian Lapuschkin, Wojciech Samek, Christoph H. Lampert

CoRR, March, 2025

2024

A Realistic Threat Model for Large Language Model Jailbreaks.

Valentyn Boreiko, Alexander Panfilov, Václav Vorácek, Matthias Hein, Jonas Geiping

CoRR, 2024

Provable Compositional Generalization for Object-Centric Learning.

Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Mechanistic insight into the functional role of human sinoatrial node conduction pathways and pacemaker compartments heterogeneity: A computer model analysis.

Jichao Zhao, Roshan Sharma, Anuradha Kalyanasundaram, James Kennelly, Jieyun Bai, Ning Li, Alexander Panfilov, Vadim V. Fedorov

PLoS Comput. Biol., December, 2023

A Minimalist Approach for Domain Adaptation with Optimal Transport.

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Multi-step domain adaptation by adversarial attack to H ΔH-divergence.

Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

Easy Batch Normalization.

Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

Connecting adversarial attacks and optimal transport for domain adaptation.

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

2020

Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes.

Svyatoslav Oreshin, Andrey Filchenkov, Polina Petrusha, Egor Krasheninnikov, Alexander Panfilov, Igor Glukhov, Yulia E. Kaliberda, Daniil Masalskiy, Alexey Serdyukov, Vladimir Kazakovtsev, Maksim Khlopotov, Timofey Podolenchuk, Ivan Smetannikov, Daria Kozlova

Proceedings of the CCRIS 2020: International Conference on Control, 2020

Recommender system for an academic supervisor with a matrix normalization approach.

Vladimir Kazakovtsev, Svyatoslav Oreshin, Alexey Serdyukov, Egor Krasheninnikov, Sergey Muravyov, Albert Bezvinnyi, Alexander Panfilov, Igor Glukhov, Yulia E. Kaliberda, Daniil Masalskiy, Timofey Podolenchuk, Maksim Khlopotov

Proceedings of the CCRIS 2020: International Conference on Control, 2020