2 papers
cs.AI2023
AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge
Chase Yakaboski, Gregory Hyde, Clement Nyanhongo +1
AI for Science (AI4Science), particularly in the form of self-driving labs, has the potential to sideline human involvement and hinder scientific discovery within the broader commu…
cs.AI2023
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
Chase Yakaboski, Eugene Santos
Successful machine learning methods require a trade-off between memorization and generalization. Too much memorization and the model cannot generalize to unobserved examples. Too m…