The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. - Yoav Levine; Noam Wies; Daniel Jannai; Dan Navon; Yedid Hoshen; Amnon Shashua (ICLR, 2022)

Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound. - Dan Navon; Alex M. Bronstein (CoRR, 2022)

Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems. - Dan Navon; Alex M. Bronstein (CoRR, 2022)

Decentralized and Asymmetric Multi-Agent Learning in Construction Sites. - Yakov Miron; Dan Navon; Yuval Goldfracht; Dotan Di Castro; Itzik Klein (CoRR, 2024)