Get started
Author

Davide Evangelista

Observed name: Evangelista, Davide
ORCID: 0000-0001-6261-7717
Observed ORCID: 0000-0001-6261-7717
OpenAlex ID: A5019031326
A Survey on Variational Autoencoders from a Green AI Perspective
2021 · Andrea Asperti, Davide Evangelista, et al. · SN Computer Science · 87
A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction
2021 · Elena Morotti, Davide Evangelista, et al. · Journal of Imaging · 24
PDF
Dissecting FLOPs Along Input Dimensions for GreenAI Cost Estimations
2022 · Andrea Asperti, Davide Evangelista, et al. · Lecture notes in computer science · 23
PDF
RISING: A new framework for model-based few-view CT image reconstruction with deep learning
2022 · Davide Evangelista, Elena Morotti, et al. · Computerized Medical Imaging and Graphics · 21
PDF
Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators
2023 · Davide Evangelista, Elena Morotti, et al. · Journal of Imaging · 10
PDF
Image embedding for denoising generative models
2023 · Andrea Asperti, Davide Evangelista, et al. · Artificial Intelligence Review · 10
PDF
Deep Guess acceleration for explainable image reconstruction in sparse-view CT
2025 · Elena Loli Piccolomini, Davide Evangelista, et al. · Computerized Medical Imaging and Graphics · 7
To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems
2025 · Davide Evangelista, Elena Loli Piccolomini, et al. · SIAM Journal on Scientific Computing · 6
PDF
A Data-Dependent Regularization Method Based on the Graph Laplacian
2025 · Davide Bianchi, Davide Evangelista, et al. · SIAM Journal on Scientific Computing · 4
PDF
Controlling ensemble variance in diffusion models: an application for reanalyses downscaling
2026 · Fabio Merizzi, Davide Evangelista, et al. · Neural Computing and Applications · 3
PDF
Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet
2023 · Davide Bianchi, Marco Donatelli, et al. · Lecture notes in computer science · 3
Language Models Are Implicitly Continuous
2025 · Marro, Samuele, Evangelista, Davide, et al. · arXiv (Cornell University) · 2
PDF
Inpainting with style: forcing style coherence to image inpainting with deep image prior
2024 · Elena Morotti, Fabio Merizzi, et al. · Frontiers in Computer Science · 2
PDF
Rapid landslide mapping during the 2023 Emilia-Romagna disaster: assessing automated approaches with limited training data
2026 · Nicola Dal Seno, Giuseppe Ciccarese, et al. · Natural hazards and earth system sciences · 1
Neural network-based inversion of NMR dispersion profiles for enhanced analysis of food systems
2024 · Giovanni Vito Spinelli, Davide Evangelista, et al. · Neural Computing and Applications · 1
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging
2024 · Morotti, Elena, Evangelista, Davide, et al. · arXiv (Cornell University) · 1
PDF
Consecutive Posterior Fusion for Diffusive Recovery of Unobservable Image Structures
2026 · Morotti, Elena, Evangelista, Davide, et al. · arXiv (Cornell University)
PDF
Physics-Guided Flow Matching for CT Image Reconstruction
2026 · Evangelista, Davide · arXiv (Cornell University)
PDF
A diffusion-based generative prior approach to sparse-view computed tomography
2026 · Davide Evangelista, Pasquale Cascarano, et al. · Computerized Medical Imaging and Graphics
D-Score: A Spectral Hidden-State Signal for Hallucination Detection in Large Language Models
2026 · Raimondi, Bianca, Evangelista, Davide, et al. · arXiv (Cornell University)
PDF
Task-Aware Symbolic Reasoning for Automated Repository Reconstruction: A Prolog and Database Study in ACCRa
2026 · Davide Evangelista, Mathieu Linty, et al. · International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
2026 · Evangelista, Davide, Morotti, Elena, et al. · arXiv (Cornell University)
PDF
CLeAN: Continual Learning Adaptive Normalization in Dynamic Environments
2026 · Marasco, Isabella, Evangelista, Davide, et al. · arXiv (Cornell University)
PDF
A Diffusion-Based Generative Prior Approach to Sparse-view Computed Tomography
2026 · Evangelista, Davide, Cascarano, Pasquale, et al. · arXiv (Cornell University)
PDF
The CompMath-MCQ Dataset: Are LLMs Ready for Higher-Level Math?
2026 · Raimondi, Bianca, Pivi, Francesco, et al. · arXiv (Cornell University)
PDF
Works count: 39
Citation count: 205
H-index: 7
I10-index: 6
Year
Topic
Type