20 citations · 89 across the 18 of their papers we have counts for
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cs.LG2024★ 1 cited
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
Víctor Sabanza-Gil, Riccardo Barbano, Daniel Pacheco Gutiérrez +4
Multi-fidelity Bayesian Optimization (MFBO) is a promising framework to speed up materials and molecular discovery as sources of information of different accuracies are at hand at…
cs.LG2024★ 2 cited
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised -transform
Alexander Denker, Francisco Vargas, Shreyas Padhy +7
Generative modelling paradigms based on denoising diffusion processes have emerged as a leading candidate for conditional sampling in inverse problems. In many real-world applicati…