In-Context Universal Approximation, Compositional Generalization, and Algorithm Emulation
Accepted at the International Conference on Machine Learning (ICML), 2026.
Foundation Models
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
GERM removes outliers to improve genomic model efficiency, enabling quantization and LoRA fine-tuning with minimal degradation.