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ORCIDAlexander Shevchenko
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Journal Articles
- 2022
[j1]Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli:
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks. J. Mach. Learn. Res. 23: 130:1-130:55 (2022)
Conference and Workshop Papers
- 2024
- [c5]Gleb Danilov
, Alexander Shevchenko, Ramin Afandiev, Artem Batalov, Eudard Pogosbekyan, Natalia Zakharova, Svetlana Shugay, Igor Pronin:
Reproducibility of Radiomic Features in Glial Brain Tumors. MIE 2024: 1165-1166 - 2022
- [c4]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: 310-318 - 2021
- [c3]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: 562-567 - [c2]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: 675-678 - 2020
- [c1]Alexander Shevchenko, Marco Mondelli:
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks. ICML 2020: 8773-8784
Informal and Other Publications
- 2024
- [i4]Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli:
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. CoRR abs/2402.05013 (2024) - 2022
- [i3]Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli:
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. CoRR abs/2212.13468 (2022) - 2021
- [i2]Alexander Shevchenko, Vyacheslav Kungurtsev, Marco Mondelli:
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks. CoRR abs/2111.02278 (2021) - 2019
- [i1]Alexander Shevchenko, Marco Mondelli:
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks. CoRR abs/1912.10095 (2019)
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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