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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 | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan, Ramji, Kevin Kögler, and Marco Mondelli. “Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.” In Proceedings of the 39th International Conference on Machine Learning, Vol. 162. ML Research Press, 2022.
[Published Version] View | Files available
 

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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 | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan, Ramji, Kevin Kögler, and Marco Mondelli. “Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.” In Proceedings of the 39th International Conference on Machine Learning, Vol. 162. ML Research Press, 2022.
[Published Version] View | Files available
 

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Citation Style: Chicago

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