Shevchenko, Aleksandr

3 publications

NeurIPS 2025 Attention with Trained Embeddings Provably Selects Important Tokens Diyuan Wu, Aleksandr Shevchenko, Samet Oymak, Marco Mondelli

ICML 2024 Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani, Marco Mondelli

ICML 2023 Fundamental Limits of Two-Layer Autoencoders, and Achieving Them with Gradient Methods Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli