* Denotes equal contribution.
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Theo (Moe) Putterman*, Derek Lim*, Yoav Gelberg, Stefanie Jegelka, and Haggai Maron.
Topological Blind Spots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
Yam Eitan*, Yoav Gelberg*, Guy Bar-Shalom, Fabrizio Frasca, Michael Bronstein, and Haggai Maron.
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg, Tycho van der Ouderaa, Mark van der Wilk, and Yarin Gal.
GRaM Workshop @ ICML 2024, Best Paper Award
For an up-to-date paper list see google scholar.