Giulia Fracastoro

68 papers A* 1B 4C 5Misc 3Journal 45Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Default robustness and worst-case losses in financial networks. Appl. Netw. Sci. Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2025	J	`jnl`	Identification of piecewise constant parameters in nonlinear models. Eur. J. Control Giuseppe Carlo Calafiore, Giulia Fracastoro, Lorenzo Zino
2025	J	`jnl`	Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks. CoRR Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati, Giuseppe Carlo Calafiore
2025	J	`jnl`	Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati, Giuseppe Carlo Calafiore
2024	—	`conf`	ConQ: Binary Quantization of Neural Networks via Concave Regularization. MLSP Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2024	J	`jnl`	Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. IEEE Access Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile
2024	J	`jnl`	Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. CoRR Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile
2024	J	`jnl`	Default Resilience and Worst-Case Effects in Financial Networks. CoRR Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2024	J	`jnl`	Optimal Clearing Payments in a Financial Contagion Model. SIAM J. Financial Math. Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2024	—	`conf`	Sparsification of Deep Neural Networks via Ternary Quantization. MLSP Luca Dordoni, Andrea Migliorati, Giulia Fracastoro, Sophie M. Fosson, Tiziano Bianchi, Enrico Magli
2023	J	`jnl`	Clearing payments in dynamic financial networks. Autom. Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2023	Misc	`conf`	Multi-Level Fusion for Burst Super-Resolution with Deep Permutation-Invariant Conditioning. ICASSP Martina Cilia, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2023	J	`jnl`	Multiclass Sparse Centroids With Application to Fast Time Series Classification. IEEE Trans. Neural Networks Learn. Syst. Tommaso Bradde, Giulia Fracastoro, Giuseppe Carlo Calafiore
2023	J	`jnl`	RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Diego Valsesia, Giulia Fracastoro, Enrico Magli
2022	—	`conf`	Clearing Payments in Dynamic Financial Networks. CCTA Giuseppe Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2022	J	`jnl`	ClearingPayments in Dynamic Financial Networks. CoRR Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2022	J	`jnl`	Control of Dynamic Financial Networks (The Extended Version). CoRR Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2022	J	`jnl`	Control of Dynamic Financial Networks. IEEE Control. Syst. Lett. Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2022	J	`jnl`	Semi-Supervised Learning for Joint SAR and Multispectral Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2022	Misc	`conf`	Signal Compression via Neural Implicit Representations. ICASSP Francesca Pistilli, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2022	J	`jnl`	Sparse ℓ IEEE Trans. Neural Networks Learn. Syst. Giuseppe Carlo Calafiore, Giulia Fracastoro
2022	J	`jnl`	Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2021	—	`conf`	Age class structure in SIRD models for the COVID-19 - An analysis of Tennessee data. MED Giuseppe Carlo Calafiore, Giulia Fracastoro
2021	A*	`conf`	Denoise and Contrast for Category Agnostic Shape Completion. CVPR Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
2021	J	`jnl`	Denoise and Contrast for Category Agnostic Shape Completion. CoRR Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi
2021	J	`jnl`	Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks. IEEE Trans. Multim. Diego Valsesia, Giulia Fracastoro, Enrico Magli
2021	J	`jnl`	Learning Robust Graph-Convolutional Representations for Point Cloud Denoising. IEEE J. Sel. Top. Signal Process. Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2021	—	`conf`	On Optimal Clearing Payments in Financial Networks. CDC Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2021	J	`jnl`	Optimal Clearing Payments in a Financial Contagion Model. CoRR Giuseppe Carlo Calafiore, Giulia Fracastoro, Anton V. Proskurnikov
2021	J	`jnl`	RAN-GNNs: breaking the capacity limits of graph neural networks. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2021	J	`jnl`	Self-supervised learning for joint SAR and multispectral land cover classification. CoRR Antonio Montanaro, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	Deep Graph-Convolutional Image Denoising. IEEE Trans. Image Process. Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	Deep learning methods for SAR image despeckling: trends and perspectives. CoRR Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva
2020	J	`jnl`	DeepSUM++: Non-local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IEEE Trans. Geosci. Remote. Sens. Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	C	`conf`	Deepsum++: Non-Local Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images. IGARSS Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. Giulia Fracastoro, Dorina Thanou, Pascal Frossard
2020	—	`conf`	Learning Graph-Convolutional Representations for Point Cloud Denoising. ECCV (20) Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2020	J	`jnl`	Learning Graph-Convolutional Representations for Point Cloud Denoising. CoRR Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2020	C	`conf`	NIR image colorization with graph-convolutional neural networks. VCIP Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	—	`conf`	Point Cloud Normal Estimation with Graph-Convolutional Neural Networks. ICME Workshops Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli
2020	J	`jnl`	Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	J	`jnl`	Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2020	C	`conf`	Towards Deep Unsupervised Sar Despeckling with Blind-Spot Convolutional Neural Networks. IGARSS Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	Misc	`conf`	A Novel Framework for Designing Directional Linear Transforms with Application to Video Compression. ICASSP Maurizio Masera, Giulia Fracastoro, Maurizio Martina, Enrico Magli
2019	J	`jnl`	Deep Graph-Convolutional Image Denoising. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	—	`conf`	Deep Learning For Super-Resolution Of Unregistered Multi-Temporal Satellite Images. WHISPERS Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images. CoRR Andrea Bordone Molini, Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	B	`conf`	Image Denoising with Graph-Convolutional Neural Networks. ICIP Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	Image Denoising with Graph-Convolutional Neural Networks. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	—	`conf`	Learning Localized Generative Models for 3D Point Clouds via Graph Convolution. ICLR (Poster) Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	Sampling of Graph Signals via Randomized Local Aggregations. IEEE Trans. Signal Inf. Process. over Networks Diego Valsesia, Giulia Fracastoro, Enrico Magli
2019	J	`jnl`	Sparse 𝓁 CoRR Giuseppe Carlo Calafiore, Giulia Fracastoro
2019	J	`jnl`	Survival and Neural Models for Private Equity Exit Prediction. CoRR Giuseppe Carlo Calafiore, Marisa Hillary Morales, Vittorio Tiozzo, Giulia Fracastoro, Serge Marquie
2018	J	`jnl`	Sampling of graph signals via randomized local aggregations. CoRR Diego Valsesia, Giulia Fracastoro, Enrico Magli
2017	—	`—`	Design and Optimization of Graph Transform for Image and Video Compression. Giulia Fracastoro
2017	J	`jnl`	Graph-based Transform Coding with Application to Image Compression. CoRR Giulia Fracastoro, Dorina Thanou, Pascal Frossard
2017	J	`jnl`	Steerable Discrete Cosine Transform. IEEE Trans. Image Process. Giulia Fracastoro, Sophie M. Fosson, Enrico Magli
2017	J	`jnl`	Steerable Discrete Fourier Transform. CoRR Giulia Fracastoro, Enrico Magli
2017	J	`jnl`	Steerable Discrete Fourier Transform. IEEE Signal Process. Lett. Giulia Fracastoro, Enrico Magli
2016	C	`conf`	Graph transform learning for image compression. PCS Giulia Fracastoro, Dorina Thanou, Pascal Frossard
2016	J	`jnl`	Steearable Discrete Cosine Transform. CoRR Giulia Fracastoro, Sophie Marie Fosson, Enrico Magli
2016	B	`conf`	Subspace-sparsifying steerable discrete cosine transform from graph fourier transform. ICIP Giulia Fracastoro, Enrico Magli
2015	J	`jnl`	Corrigendum to "3D face recognition: An automatic strategy based on geometrical descriptors and landmarks" [Robot. Auton. Syst. 62(12) (2014) 1768-1776]. Robotics Auton. Syst. Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro
2015	B	`conf`	Predictive graph construction for image compression. ICIP Giulia Fracastoro, Enrico Magli
2015	C	`conf`	Steerable Discrete Cosine Transform. MMSP Giulia Fracastoro, Enrico Magli
2015	B	`conf`	Superpixel-driven graph transform for image compression. ICIP Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli
2014	J	`jnl`	3D face recognition: An automatic strategy based on geometrical descriptors and landmarks. Robotics Auton. Syst. Enrico Vezzetti, Federica Marcolin, Giulia Fracastoro