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2023 | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko, Aleksandr, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In Proceedings of the 40th International Conference on Machine Learning, 202:31151–209. ML Research Press, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2022 | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Aleksandr, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research. Journal of Machine Learning Research, 2022.
[Published Version] View | Files available | arXiv
 

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2 Publications

Mark all

[2]
2023 | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko, Aleksandr, Kevin Kögler, Hamed Hassani, and Marco Mondelli. “Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods.” In Proceedings of the 40th International Conference on Machine Learning, 202:31151–209. ML Research Press, 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2022 | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Aleksandr, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research. Journal of Machine Learning Research, 2022.
[Published Version] View | Files available | arXiv
 

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Citation Style: Chicago

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