3 papers
cs.LG2026
BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH
Rahman Ejaz, Varchas Gopalaswamy, Ricardo Luna +5
Bayesian optimization (BO) has for sequential optimization of expensive black-box functions demonstrated practicality and effectiveness in many real-world settings. Meta-Bayesian o…
cs.LG2024
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?
Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti +2
The domain of laser fusion presents a unique and challenging predictive modeling application landscape for machine learning methods due to high problem complexity and limited train…
eess.IV2024
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
George Shaikovski, Adam Casson, Kristen Severson +19
Foundation models in computational pathology promise to unlock the development of new clinical decision support systems and models for precision medicine. However, there is a misma…