Kevin Kögler

According to our database, Kevin Kögler authored at least 5 papers between 2022 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

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

Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani, Marco Mondelli

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli

CoRR, 2022

Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing.

Ramji Venkataramanan, Kevin Kögler, Marco Mondelli

Proceedings of the International Conference on Machine Learning, 2022