Derek Lim

Latest

• Analyzing Large Language Models by Learning on Token Distribution Sequences
• Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
• GL-Equivariant Processing of Low-Rank Weight Spaces
• The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
• Future Directions in Foundations of Graph Machine Learning
• Graph Metanetworks for Processing Diverse Neural Architectures
• Expressive Sign Equivariant Networks for Spectral Geometric Learning
• Equivariant Polynomials for Graph Neural Networks
• Sign and Basis Invariant Networks for Spectral Graph Representation Learning
• Equivariant Subgraph Aggregation Networks