Giorgia Franchini

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Variance Reduction

Stochastic Gradient

Top Venues

J. Sci. Comput.

Publications

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
A variable metric proximal stochastic gradient method: An application to classification problems. EURO J. Comput. Optim. 12 (2024)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
A stochastic gradient method with variance control and variable learning rate for Deep Learning. J. Comput. Appl. Math. 451 (2024)
Carmelo Scribano, Danilo Pezzi, Giorgia Franchini, Marco Prato
Denoising Diffusion Models on Model-Based Latent Space. Algorithms 16 (11) (2023)
Elena Govi, Davide Sapienza, Carmelo Scribano, Tobia Poppi, Giorgia Franchini, Paola Ardón, Micaela Verucchi, Marko Bertogna
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. CoRR (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. 96 (2) (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. 94 (1) (2023)
Alessandro Benfenati, Émilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
Majorization-Minimization for sparse SVMs. CoRR (2023)
Davide Sapienza, Elena Govi, Sara Aldhaheri, Giorgia Franchini, Marko Bertogna, Eloy Roura, Èric Pairet, Micaela Verucchi, Paola Ardón
Model-Based Underwater 6D Pose Estimation from RGB. CoRR (2023)
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani
Constrained and unconstrained deep image prior optimization models with automatic regularization. Comput. Optim. Appl. 84 (1) (2023)
Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. J. Sci. Comput. 94 (3) (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA (2023)
Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna
Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. FedCSIS (2023)
Alessio Masola, Nicola Capodieci, Benjamin Rouxel, Giorgia Franchini, Roberto Cavicchioli
Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems. RTCSA (2023)
Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. SSVM (2023)
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
Learning the Image Prior by Unrolling an Optimization Method. EUSIPCO (2022)
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
Explainable bilevel optimization: an application to the Helsinki deblur challenge. CoRR (2022)
Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato
Deep Image Prior for medical image denoising, a study about parameter initialization. Frontiers Appl. Math. Stat. 8 (2022)
Carmelo Scribano, Giorgia Franchini, Ignacio Sañudo Olmedo, Marko Bertogna
CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning. CoRR (2022)
Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms 15 (10) (2022)
Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. CoRR (2022)
Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini
Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. LOD (2021)
Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. ICCSA (Workshops) (2021)
Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers. CoRR (2021)
Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna
All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. CVPR Workshops (2021)
Giorgia Franchini, Valeria Ruggiero, Luca Zanni
Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. LOD (2) (2020)
Giorgia Franchini, Valeria Ruggiero, Luca Zanni
Ritz-like values in steplength selections for stochastic gradient methods. Soft Comput. 24 (23) (2020)
Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning. CoRR (2019)
Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. INNSBDDL (2019)
Giorgia Franchini, Valeria Ruggiero, Luca Zanni
On the Steplength Selection in Stochastic Gradient Methods. NUMTA(1) (2019)
Giorgia Franchini, Paolo Burgio, Luca Zanni
Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy. ISDA (2) (2018)