Scaling Matters in Deep Structured-Prediction Models. - Aleksandr Shevchenko; Anton Osokin (CoRR, 2019)

Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. - Aleksandr Shevchenko; Kevin Kögler; Hamed Hassani; Marco Mondelli (ICML, 2023)

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

Attention with Trained Embeddings Provably Selects Important Tokens. - Diyuan Wu; Aleksandr Shevchenko; Samet Oymak; Marco Mondelli (CoRR, 2025)