Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging Paper • 2404.16900 • Published Apr 25, 2024 • 1
Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging Paper • 2501.09845 • Published Jan 16 • 1
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling Paper • 2501.14822 • Published Jan 21 • 1
A data-dependent regularization method based on the graph Laplacian Paper • 2312.16936 • Published Dec 28, 2023 • 1
RISING a new framework for few-view tomographic image reconstruction with deep learning Paper • 2201.09777 • Published Jan 24, 2022 • 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
Dissecting FLOPs along input dimensions for GreenAI cost estimations Paper • 2107.11949 • Published Jul 26, 2021
MicroRacer: a didactic environment for Deep Reinforcement Learning Paper • 2203.10494 • Published Mar 20, 2022 • 1
Thinking Machines: Mathematical Reasoning in the Age of LLMs Paper • 2508.00459 • Published Aug 1 • 1
Precipitation nowcasting with generative diffusion models Paper • 2308.06733 • Published Aug 13, 2023
A Critical Assessment of Modern Generative Models' Ability to Replicate Artistic Styles Paper • 2502.15856 • Published Feb 21 • 1
Deep Learning for Sea Surface Temperature Reconstruction under Cloud Occlusion Paper • 2412.03413 • Published Dec 4, 2024 • 1
A Notion of Complexity for Theory of Mind via Discrete World Models Paper • 2406.11911 • Published Jun 16, 2024 • 1
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models Paper • 2401.15469 • Published Jan 27, 2024 • 1
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Paper • 2002.07514 • Published Feb 18, 2020 • 1