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Image Reconstruction via Deep Image Prior Subspaces., , , , , and . Trans. Mach. Learn. Res., (2024)Sampling-based inference for large linear models, with application to linearised Laplace., , , , , and . ICLR, OpenReview.net, (2023)SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction., , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 617-642. PMLR, (2023)Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior., , , , and . CoRR, (2022)Adapting the Linearised Laplace Model Evidence for Modern Deep Learning., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 796-821. PMLR, (2022)Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior., , , , and . Trans. Mach. Learn. Res., (2023)Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction., , , , , and . CoRR, (2020)Fast and Painless Image Reconstruction in Deep Image Prior Subspaces., , , , , and . CoRR, (2023)DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform., , , , , , , , , and . CoRR, (2024)Conditional Variational Autoencoder for Learned Image Reconstruction., , and . CoRR, (2021)