The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof. - Derek Lim; Theo (Moe) Putterman; Robin Walters 001; Haggai Maron; Stefanie Jegelka (NeurIPS, 2024)

Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models. - Theo (Moe) Putterman; Derek Lim; Yoav Gelberg; Stefanie Jegelka; Haggai Maron (CoRR, 2024)

GradMetaNet: An Equivariant Architecture for Learning on Gradients. - Yoav Gelberg; Yam Eitan; Aviv Navon; Aviv Shamsian; Theo (Moe) Putterman; Michael M. Bronstein; Haggai Maron (NeurIPS, 2025)