Teo Deveney

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Bayesian Inference

Diffusion Models

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Simone Appella, Simon R. Arridge, Chris J. Budd, Teo Deveney, Lisa Maria Kreusser
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks. CoRR (2024)
James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd
G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers. CoRR (2024)
Teo Deveney, Eike Hermann Müller, Tony Shardlow
Deep Surrogate Accelerated Delayed-Acceptance Hamiltonian Monte Carlo for Bayesian Inference of Spatio-Temporal Heat Fluxes in Rotating Disc Systems. SIAM/ASA J. Uncertain. Quantification 11 (3) (2023)
Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris Budd, Carola-Bibiane Schönlieb
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation. CoRR (2023)
Teo Deveney, Eike Hermann Müller, Tony Shardlow
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems. CoRR (2022)
Teo Deveney, Eike Hermann Müller, Tony Shardlow
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models. CoRR (2019)