Alexander Shevchenko

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Fundamental Limits

Security Management

Structured And Unstructured Data

Top Venues

J. Mach. Learn. Res.

Publications

Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. CoRR (2024)
Denys Kovalenko, Alexander Shevchenko, Juergen Koeberlein-Kerler, Liudmyla V. Shtefan, Viktoriia Kovalska
Didactic Adaptation of Medical Information for the Formation of Valeological Competence in Engineering and Pedagogical Training. ICL (2) (2022)
Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks. J. Mach. Learn. Res. 23 (2022)
Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. CoRR (2022)
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
Noninvasive Glioma Grading with Deep Learning: A Pilot Study. MedInfo (2021)
Valery Lipatnikov, Dmitry Saharov, Valery Tikhonov, Alexander Shevchenko, Anna Polyanicheva
Security management in large-scale heterogeneous network systems based on intelligent information security services. ICFNDS (2021)
Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks. CoRR (2021)
Alexander Shevchenko, Marco Mondelli
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks. ICML (2020)
Alexander Shevchenko, Marco Mondelli
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks. CoRR (2019)