4 papers
Spectral Diffusion Processes
Angus Phillips, Thomas Seror, Michael Hutchinson +3
The paper introduces diffusion models for stochastic processes by representing data in a spectral domain using kernels, truncating the spectral coefficients, and modeling them with…
Simulating Diffusion Bridges with Score Matching
Jeremy Heng, Valentin De Bortoli, Arnaud Doucet +1
We consider the problem of simulating diffusion bridges, which are diffusion processes that are conditioned to initialize and terminate at two given states. The simulation of diffu…
Evaluating AI systems under uncertain ground truth: a case study in dermatology
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy +17
For safety, medical AI systems undergo thorough evaluations before deployment, validating their predictions against a ground truth which is assumed to be fixed and certain. However…
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico, Tyler Farghly, George Deligiannidis +2
We establish disintegrated PAC-Bayesian generalisation bounds for models trained with gradient descent methods or continuous gradient flows. Contrary to standard practice in the PA…