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GradMetaNet: An Equivariant Architecture for Learning on Gradients
Yoav Gelberg
,
Yam Eitan
,
Aviv Navon
,
Aviv Shamsian
,
Theo Putterman
,
Michael Bronstein
,
Haggai Maron
May 2025
Machine Learning
Type
Conference paper
Publication
ICLR 2025 Workshop: Neural Network Weights as a New Data Modality
Equivariance
Meta-learning
Related
GradMetaNet: An Equivariant Architecture for Learning on Gradients
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
GL-Equivariant Processing of Low-Rank Weight Spaces
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
Equivariant Deep Weight Space Alignment
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