3 papers
cs.LG2026
End-to-End Differentiable Diffusion Conditioning for Physics-Informed Optimization
Ricardo Luna Gutierrez, Vineet Gundecha, Rahman Ejaz +5
Optimizing high-dimensional physical systems under expensive evaluations and complex constraints is a central challenge in science and engineering. In offline model-based optimizat…
cs.LG2026
Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
Ricardo Luna Gutierrez, Sahand Ghorbanpour, Ejaz Rahman +6
Inertial Confinement Fusion (ICF) holds transformative promise for sustainable, near-limitless clean energy, yet remains constrained by prohibitively high costs and limited experim…
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…