25 citations · 50 across the 20 of their papers we have counts for
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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…
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…
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…