Giorgia Franchini

According to our database, Giorgia Franchini authored at least 25 papers between 2018 and 2023.

Collaborative distances:

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

2023

Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini

J. Sci. Comput., August, 2023

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform.

Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna

J. Sci. Comput., February, 2023

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini

J. Sci. Comput., 2023

Majorization-Minimization for sparse SVMs.

Alessandro Benfenati, Émilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi

CoRR, 2023

Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation.

Elena Govi, Davide Sapienza, Carmelo Scribano, Tobia Poppi, Giorgia Franchini, Paola Ardón, Micaela Verucchi, Marko Bertogna

CoRR, 2023

Model-Based Underwater 6D Pose Estimation from RGB.

Davide Sapienza, Elena Govi, Sara Aldhaheri, Giorgia Franchini, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón

CoRR, 2023

Constrained and unconstrained deep image prior optimization models with automatic regularization.

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

Comput. Optim. Appl., 2023

Denoising Diffusion Models on Model-Based Latent Space.

Carmelo Scribano, Danilo Pezzi, Giorgia Franchini, Marco Prato

Algorithms, 2023

Piece-wise Constant Image Segmentation with a Deep Image Prior Approach.

Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems.

Alessio Masola, Nicola Capodieci, Benjamin Rouxel, Giorgia Franchini, Roberto Cavicchioli

Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods.

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni

Proceedings of the Optimization and Learning - 6th International Conference, 2023

Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques.

Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Deep Image Prior for medical image denoising, a study about parameter initialization.

Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato

Frontiers Appl. Math. Stat., 2022

Explainable bilevel optimization: an application to the Helsinki deblur challenge.

Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato

CoRR, 2022

CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning.

Carmelo Scribano, Giorgia Franchini, Ignacio Sañudo Olmedo, Marko Bertogna

CoRR, 2022

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.

Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato

Algorithms, 2022

Learning the Image Prior by Unrolling an Optimization Method.

Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods.

Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.

Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers.

Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna

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

2020

Ritz-like values in steplength selections for stochastic gradient methods.

Giorgia Franchini, Valeria Ruggiero, Luca Zanni

Soft Comput., 2020

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods.

Giorgia Franchini, Valeria Ruggiero, Luca Zanni

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

On the Steplength Selection in Stochastic Gradient Methods.

Giorgia Franchini, Valeria Ruggiero, Luca Zanni

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning.

Giorgia Franchini, Mathilde Galinier, Micaela Verucchi

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018

Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy.

Giorgia Franchini, Paolo Burgio, Luca Zanni

Proceedings of the Intelligent Systems Design and Applications, 2018