Davide Evangelista

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authored 10 papers 3 months ago

Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling

Paper • 2501.14822 • Published Jan 21 • 1

Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging

Paper • 2501.09845 • Published Jan 16 • 1

A data-dependent regularization method based on the graph Laplacian

Paper • 2312.16936 • Published Dec 28, 2023 • 1

Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging

Paper • 2404.16900 • Published Apr 25, 2024 • 1

To be or not to be stable, that is the question: understanding neural networks for inverse problems

Paper • 2211.13692 • Published Nov 24, 2022 • 1

Ambiguity in solving imaging inverse problems with deep learning based operators

Paper • 2305.19774 • Published May 31, 2023 • 1

RISING a new framework for few-view tomographic image reconstruction with deep learning

Paper • 2201.09777 • Published Jan 24, 2022 • 1

Dissecting FLOPs along input dimensions for GreenAI cost estimations

Paper • 2107.11949 • Published Jul 26, 2021

Language Models Are Implicitly Continuous

Paper • 2504.03933 • Published Apr 4 • 3

Image Embedding for Denoising Generative Models

Paper • 2301.07485 • Published Dec 30, 2022