Alexander Shevchenko

11 papers A* 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models.
CoRR
Jonas Hübotter, Patrik Wolf, Alexander Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur
2024 J jnl
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.
CoRR
Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli
2024 — conf
Reproducibility of Radiomic Features in Glial Brain Tumors.
MIE
Gleb Danilov, Alexander Shevchenko, Ramin Afandiev, Artem Batalov, Eudard Pogosbekyan, Natalia Zakharova, Svetlana Shugay, Igor Pronin
2022 — conf
Didactic Adaptation of Medical Information for the Formation of Valeological Competence in Engineering and Pedagogical Training.
ICL (2)
Denys Kovalenko, Alexander Shevchenko, Juergen Koeberlein-Kerler, Liudmyla V. Shtefan, Viktoriia Kovalska
2022 J jnl
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods.
CoRR
Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli
2022 J jnl
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.
J. Mach. Learn. Res.
Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli
2021 J jnl
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.
CoRR
Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli
2021 — conf
Noninvasive Glioma Grading with Deep Learning: A Pilot Study.
MedInfo
Gleb Danilov, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan, Daniel Saada, Timur Ishankulov, Ramin Afandiev, Alexander Shevchenko, Tatyana Konakova, Tatyana Tsukanova, Svetlana Shugay, Igor Pronin, Alexander Potapov
2021 — conf
Security management in large-scale heterogeneous network systems based on intelligent information security services.
ICFNDS
Valery Lipatnikov, Dmitry Saharov, Valery Tikhonov, Alexander Shevchenko, Anna Polyanicheva
2020 A* conf
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks.
ICML
Alexander Shevchenko, Marco Mondelli
2019 J jnl
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks.
CoRR
Alexander Shevchenko, Marco Mondelli