Kevin Kögler

3 Publications

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[3]
2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Kögler K, Shevchenko A, Hassani H, Mondelli M. Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:24964-25015.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[2]
2023 | Published | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko A, Kögler K, Hassani H, Mondelli M. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:31151-31209.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan R, Kögler K, Mondelli M. 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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3 Publications

Mark all

[3]
2024 | Published | Conference Paper | IST-REx-ID: 17469 | OA
Kögler K, Shevchenko A, Hassani H, Mondelli M. Compression of structured data with autoencoders: Provable benefit of nonlinearities and depth. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:24964-25015.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[2]
2023 | Published | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko A, Kögler K, Hassani H, Mondelli M. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:31151-31209.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 12540 | OA
Venkataramanan R, Kögler K, Mondelli M. 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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