Aleksandr Shevchenko

According to our database, Aleksandr Shevchenko authored at least 3 papers between 2019 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, 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

2019

Scaling Matters in Deep Structured-Prediction Models.

Aleksandr Shevchenko, Anton Osokin

CoRR, 2019