( en | de | ru )

 

Disambiguation of "Evangelista, Davide"

Author of the publication

copydeleteadd this publication to your clipboard
A data-dependent regularization method based on the graph Laplacian.

, , , , , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Marco Evangelista

Gennaro Evangelista

Davide Cadamuro

Davide Pennino

Davide Pagani

 

Other publications of authors with the same name

Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet., , , , and . SSVM, volume 14009 of Lecture Notes in Computer Science, page 175-186. Springer, (2023)Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging., , , and . CoRR, (2024)To be or not to be stable, that is the question: understanding neural networks for inverse problems., , , and . CoRR, (2022)Image Embedding for Denoising Generative Models., , , and . CoRR, (2023)A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction., , and . J. Imaging, 7 (8): 139 (2021)A data-dependent regularization method based on the graph Laplacian., , , , , and . CoRR, (2023)RISING: A new framework for model-based few-view CT image reconstruction with deep learning., , and . Comput. Medical Imaging Graph., (2023)A survey on Variational Autoencoders from a GreenAI perspective., , and . CoRR, (2021)RISING a new framework for few-view tomographic image reconstruction with deep learning., , and . CoRR, (2022)Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations., , and . LOD, volume 13164 of Lecture Notes in Computer Science, page 86-100. Springer, (2021)