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cs.LG2026
Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions
James Rowbottom, Nick Huang, Carola-Bibiane Schönlieb +1
State estimation is a critical task in scientific, engineering and control applications. Since the reliability of reconstructions depends on the number and position of sensors, opt…
cs.LG2026
GRIFDIR: Graph Resolution-Invariant Diffusion Models over Irregular Domains
James Rowbottom, Elizabeth L. Baker, Nick Huang +3
Score-based diffusion models in infinite-dimensional function spaces provide a mathematically principled framework for modelling function-valued data, offering key advantages such…
cs.LG2025
How many measurements are enough? Bayesian recovery in inverse problems with general distributions
Ben Adcock, Nick Huang
We study the sample complexity of Bayesian recovery for solving inverse problems with general prior, forward operator and noise distributions. We consider posterior sampling accord…