Giulia Fracastoro

About Giulia Fracastoro

Giulia Fracastoro, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Politecnico di Torino,

His recent articles reflect a diverse array of research interests and contributions to the field:

Default Resilience and Worst-Case Effects in Financial Networks

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks

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

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

Clearing payments in dynamic financial networks

Learning Epipolar Feature Fields for Multi-Image Super-Resolution

Semi-supervised learning for joint SAR and multispectral land cover classification

Control of dynamic financial networks

Giulia Fracastoro Information

University

Position

___

Citations(all)

1257

Citations(since 2020)

1120

Cited By

420

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Top articles of Giulia Fracastoro

Title

Journal

Author(s)

Publication Date

Default Resilience and Worst-Case Effects in Financial Networks

arXiv preprint arXiv:2403.10631

Giuseppe Calafiore

Giulia Fracastoro

Anton Proskurnikov

2024/3/15

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks

IEEE Transactions on Neural Networks and Learning Systems

Giulia Fracastoro

Sophie M Fosson

Andrea Migliorati

Giuseppe C Calafiore

2024/3/13

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

arXiv preprint arXiv:2401.16972

Luca Savant Aira

Diego Valsesia

Andrea Bordone Molini

Giulia Fracastoro

Enrico Magli

...

2024/1/30

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

Martina Cilia

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2023/6/4

Clearing payments in dynamic financial networks

Automatica

Giuseppe C Calafiore

Giulia Fracastoro

Anton V Proskurnikov

2023/12/1

Learning Epipolar Feature Fields for Multi-Image Super-Resolution

Luca Savant Aira

Diego Valsesia

Andrea Bordone Molini

Giulia Fracastoro

Enrico Magli

...

2023/10/13

Semi-supervised learning for joint SAR and multispectral land cover classification

IEEE Geoscience and Remote Sensing Letters

Antonio Montanaro

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2022/8/1

Control of dynamic financial networks

IEEE Control Systems Letters

Giuseppe C Calafiore

Giulia Fracastoro

Anton V Proskurnikov

2022/6/14

Signal compression via neural implicit representations

Francesca Pistilli

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2022/5/23

Age structure in SIRD models for the COVID-19 pandemic—A case study on Italy data and effects on mortality

Plos one

Giuseppe Carlo Calafiore

Giulia Fracastoro

2022/2/24

Graph Neural Networks for Image Processing

Graph Spectral Image Processing

Giulia Fracastoro

Diego Valsesia

2021/8/5

Speckle2Void: Deep self-supervised SAR despeckling with blind-spot convolutional neural networks

IEEE Transactions on Geoscience and Remote Sensing

Andrea Bordone Molini

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2021/3/23

On optimal clearing payments in financial networks

Giuseppe Calafiore

Giulia Fracastoro

Anton V Proskurnikov

2021/12/14

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

Giuseppe C Calafiore

Giulia Fracastoro

2021/6/22

Multiclass sparse centroids with application to fast time series classification

IEEE Transactions on Neural Networks and Learning Systems

Tommaso Bradde

Giulia Fracastoro

Giuseppe C Calafiore

2021/11/12

Optimal clearing payments in a financial contagion model

arXiv preprint arXiv:2103.10872

Giuseppe Calafiore

Giulia Fracastoro

Anton V Proskurnikov

2021/3/19

Apparatuses and methods for encoding and decoding images

2021/5/18

RAN-GNNs: breaking the capacity limits of graph neural networks

IEEE Transactions on Neural Networks and Learning Systems

Diego Valsesia

Giulia Fracastoro

Enrico Magli

2021/10/15

Denoise and contrast for category agnostic shape completion

Antonio Alliegro

Diego Valsesia

Giulia Fracastoro

Enrico Magli

Tatiana Tommasi

2021

Techniques for encoding and decoding digital data using graph-based transformations

2021/9/14

See List of Professors in Giulia Fracastoro University(Politecnico di Torino)

Co-Authors

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