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Dive into the research topics where Teo Deveney is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Bayesian MRI Reconstruction with Structured Uncertainty Distributions
Deveney, T., Simpson, I. & Campbell, N., 16 Jul 2025, (Acceptance date) Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Proceedings. Sudre, C. H., Hoque, M. I., Mehta, R., Qin, C., Ouyang, C., Rakic, M. & Wells, W. M. (eds.). Cham, Switzerland: Springer, p. 234-243 10 p. (Lecture Notes in Computer Science; vol. 16166 LNCS).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
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Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation
Deveney, T., Stanczuk, J., Kreusser, L., Budd, C. & Schönlieb, C. B., 5 Jun 2025, In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 383, 2298, 20240503.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (SciVal) -
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
Rowbottom, J., Maierhofer, G., Deveney, T., Müller, E., Paganini, A., Schratz, K., Lio, P., Schönlieb, C.-B. & Budd, C., 1 May 2025, (Acceptance date).Research output: Contribution to conference › Paper › peer-review
Open AccessFile8 Downloads (Pure) -
Scale-Aware Parameterization of Cloud Fraction and Condensate for a Global Atmospheric Model Machine-Learned From Coarse-Grained Kilometer-Scale Simulations
Morcrette, C., Cave, T., Reid, H., da Silva Rodrigues, J., Deveney, T., Kreusser, L., Van Weverberg, K. & Budd, C., 30 Apr 2025, In: Journal of Advances in Modeling Earth Systems (JAMES). 17, 4, e2024MS004651.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (SciVal) -
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Appella, S., Arridge, S., Budd, C., Deveney, T. & Kreusser, L. M., 2 Jul 2024.Research output: Working paper / Preprint › Preprint
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Thesis
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Accelerating Bayesian inference with physics-governed likelihoods using deep learning: (Alternative Format Thesis)
Deveney, T. (Author), Shardlow, T. (Supervisor) & Mueller, E. (Supervisor), 22 Jun 2022Student thesis: Doctoral Thesis › PhD
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