2 papers
cs.LG2026
In-Context Learning in Linear vs. Quadratic Attention Models: An Empirical Study on Regression Tasks
Ayush Goel, Arjun Kohli, Sarvagya Somvanshi
Recent work has demonstrated that transformers and linear attention models can perform in-context learning (ICL) on simple function classes, such as linear regression. In this pape…
q-bio.BM2025
DeepFRI Demystified: Interpretability vs. Accuracy in AI Protein Function Prediction
Ananya Krishna, Valentina Simon, Arjan Kohli
Machine learning technologies for protein function prediction are black box models. Despite their potential to identify key drug targets with high accuracy and accelerate therapy d…