3 papers
cs.LG2025
Scaling Laws for Neural Material Models
Akshay Trikha, Kyle Chu, Advait Gosai +2
Predicting material properties is crucial for designing better batteries, semiconductors, and medical devices. Deep learning helps scientists quickly find promising materials by pr…
stat.ML2019
The Bias-Expressivity Trade-off
Julius Lauw, Dominique Macias, Akshay Trikha +2
Learning algorithms need bias to generalize and perform better than random guessing. We examine the flexibility (expressivity) of biased algorithms. An expressive algorithm can ada…
cs.LG2019
The Futility of Bias-Free Learning and Search
George D. Montanez, Jonathan Hayase, Julius Lauw +3
Building on the view of machine learning as search, we demonstrate the necessity of bias in learning, quantifying the role of bias (measured relative to a collection of possible da…