9 citations · 18 across the 9 of their papers we have counts for
3 papers · 1 filter
Effective Latent Differential Equation Models via Attention and Multiple Shooting
Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet +5
Scientific Machine Learning (SciML) is a burgeoning field that synergistically combines domain-aware and interpretable models with agnostic machine learning techniques. In this wor…
Predicting Grokking Long Before it Happens: A look into the loss landscape of models which grok
Pascal Jr. Tikeng Notsawo, Hattie Zhou, Mohammad Pezeshki +2
This paper focuses on predicting the occurrence of grokking in neural networks, a phenomenon in which perfect generalization emerges long after signs of overfitting or memorization…
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad-Javad Darvishi-Bayazi +3
Machine learning models often fail to generalize well under distributional shifts. Understanding and overcoming these failures have led to a research field of Out-of-Distribution (…