1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Score matching for bridges without learning time-reversals
Elizabeth L. Baker, Moritz Schauer, Stefan Sommer
We propose a new algorithm for learning bridged diffusion processes using score-matching methods. Our method relies on reversing the dynamics of the forward process and using this…
Infinite-dimensional Diffusion Bridge Simulation via Operator Learning
Gefan Yang, Elizabeth Louise Baker, Michael L. Severinsen +2
The diffusion bridge, which is a diffusion process conditioned on hitting a specific state within a finite period, has found broad applications in various scientific and engineerin…
Scalable physical source-to-field inference with hypernetworks
Berian James, Stefan Pollok, Ignacio Peis +3
We present a generative model that amortises computation for the field and potential around e.g.~gravitational or electromagnetic sources. Exact numerical calculation has either co…
Conditioning non-linear and infinite-dimensional diffusion processes
Elizabeth Louise Baker, Gefan Yang, Michael L. Severinsen +2
Generative diffusion models and many stochastic models in science and engineering naturally live in infinite dimensions before discretisation. To incorporate observed data for stat…