Shevchenko, Aleksandr

4 publications

ICLR 2026 Specialization After Generalization: Towards Understanding Test-Time Training in Foundation Models Jonas Hübotter, Patrik Wolf, Aleksandr Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur

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