Alexander Shevchenko

According to our database, Alexander Shevchenko authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth.

Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli

CoRR, 2024

Reproducibility of Radiomic Features in Glial Brain Tumors.

Gleb Danilov, Alexander Shevchenko, Ramin Afandiev, Artem Batalov, Eudard Pogosbekyan, Natalia Zakharova, Svetlana Shugay, Igor Pronin

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2022

Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.

Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli

J. Mach. Learn. Res., 2022

Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods.

Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli

CoRR, 2022

Didactic Adaptation of Medical Information for the Formation of Valeological Competence in Engineering and Pedagogical Training.

Denys Kovalenko, Alexander Shevchenko, Juergen Koeberlein-Kerler, Liudmyla V. Shtefan, Viktoriia Kovalska

Proceedings of the Learning in the Age of Digital and Green Transition, 2022

2021

Noninvasive Glioma Grading with Deep Learning: A Pilot Study.

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

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Security management in large-scale heterogeneous network systems based on intelligent information security services.

Valery Lipatnikov, Dmitry Saharov, Valery Tikhonov, Alexander Shevchenko, Anna Polyanicheva

Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

2020

Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks.

Alexander Shevchenko, Marco Mondelli

Proceedings of the 37th International Conference on Machine Learning, 2020