Giulia Fracastoro

According to our database, Giulia Fracastoro authored at least 51 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks.

Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati, Giuseppe Carlo Calafiore

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Identification of piecewise constant parameters in nonlinear models.

Giuseppe Carlo Calafiore, Giulia Fracastoro, Lorenzo Zino

Eur. J. Control, 2025

2024

Optimal Clearing Payments in a Financial Contagion Model.

Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

SIAM J. Financial Math., 2024

Default Resilience and Worst-Case Effects in Financial Networks.

Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

CoRR, 2024

Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow.

Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile

IEEE Access, 2024

ConQ: Binary Quantization of Neural Networks via Concave Regularization.

Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Sparsification of Deep Neural Networks via Ternary Quantization.

Luca Dordoni, Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Clearing payments in dynamic financial networks.

Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

Autom., December, 2023

RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multiclass Sparse Centroids With Application to Fast Time Series Classification.

Tommaso Bradde, Giulia Fracastoro, Giuseppe Carlo Calafiore

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning.

Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Sparse ℓ₁- and ℓ₂-Center Classifiers.

Giuseppe Carlo Calafiore, Giulia Fracastoro

IEEE Trans. Neural Networks Learn. Syst., 2022

Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks.

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification.

Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Geosci. Remote. Sens. Lett., 2022

Control of Dynamic Financial Networks.

Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

IEEE Control. Syst. Lett., 2022

Control of Dynamic Financial Networks (The Extended Version).

Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

CoRR, 2022

ClearingPayments in Dynamic Financial Networks.

Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

CoRR, 2022

Signal Compression via Neural Implicit Representations.

Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Trans. Multim., 2021

Learning Robust Graph-Convolutional Representations for Point Cloud Denoising.

Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli

IEEE J. Sel. Top. Signal Process., 2021

Self-supervised learning for joint SAR and multispectral land cover classification.

Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli

CoRR, 2021

Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data.

Giuseppe Carlo Calafiore, Giulia Fracastoro

Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Denoise and Contrast for Category Agnostic Shape Completion.

Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

On Optimal Clearing Payments in Financial Networks.

Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Deep Graph-Convolutional Image Denoising.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Trans. Image Process., 2020

Graph Transform Optimization With Application to Image Compression.

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

IEEE Trans. Image Process., 2020

DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images.

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Trans. Geosci. Remote. Sens., 2020

Deep learning methods for SAR image despeckling: trends and perspectives.

Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva

CoRR, 2020

NIR image colorization with graph-convolutional neural networks.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks.

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images.

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Point Cloud Normal Estimation with Graph-Convolutional Neural Networks.

Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Learning Graph-Convolutional Representations for Point Cloud Denoising.

Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Sampling of Graph Signals via Randomized Local Aggregations.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

IEEE Trans. Signal Inf. Process. over Networks, 2019

Survival and Neural Models for Private Equity Exit Prediction.

Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Giulia Fracastoro, Serge Marquie

CoRR, 2019

Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images.

Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Learning Localized Generative Models for 3D Point Clouds via Graph Convolution.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the 7th International Conference on Learning Representations, 2019

Image Denoising with Graph-Convolutional Neural Networks.

Diego Valsesia, Giulia Fracastoro, Enrico Magli

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression.

Maurizio Masera, Giulia Fracastoro, Maurizio Martina, Enrico Magli

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Design and Optimization of Graph Transform for Image and Video Compression.

Giulia Fracastoro

PhD thesis, 2017

Steerable Discrete Cosine Transform.

Giulia Fracastoro, Sophie M. Fosson, Enrico Magli

IEEE Trans. Image Process., 2017

Steerable Discrete Fourier Transform.

Giulia Fracastoro, Enrico Magli

IEEE Signal Process. Lett., 2017

Graph-based Transform Coding with Application to Image Compression.

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

CoRR, 2017

2016

Steearable Discrete Cosine Transform.

Giulia Fracastoro, Sophie Marie Fosson, Enrico Magli

CoRR, 2016

Graph transform learning for image compression.

Giulia Fracastoro, Dorina Thanou, Pascal Frossard

Proceedings of the 2016 Picture Coding Symposium, 2016

Subspace-sparsifying steerable discrete cosine transform from graph fourier transform.

Giulia Fracastoro, Enrico Magli

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Corrigendum to "3D face recognition: An automatic strategy based on geometrical descriptors and landmarks" [Robot. Auton. Syst. 62(12) (2014) 1768-1776].

Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro

Robotics Auton. Syst., 2015

Steerable Discrete Cosine Transform.

Giulia Fracastoro, Enrico Magli

Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Superpixel-driven graph transform for image compression.

Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Predictive graph construction for image compression.

Giulia Fracastoro, Enrico Magli

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

3D face recognition: An automatic strategy based on geometrical descriptors and landmarks.

Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro

Robotics Auton. Syst., 2014