Giorgia Franchini

Orcid: 0000-0001-9082-8087

According to our database1, Giorgia Franchini authored at least 29 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
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10
15
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Bibliography

2024
A stochastic gradient method with variance control and variable learning rate for Deep Learning.
J. Comput. Appl. Math., 2024

A variable metric proximal stochastic gradient method: An application to classification problems.
EURO J. Comput. Optim., 2024

2023
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., August, 2023

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform.
J. Sci. Comput., February, 2023

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., 2023

Majorization-Minimization for sparse SVMs.
CoRR, 2023

Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation.
CoRR, 2023

Model-Based Underwater 6D Pose Estimation from RGB.
CoRR, 2023

Constrained and unconstrained deep image prior optimization models with automatic regularization.
Comput. Optim. Appl., 2023

Denoising Diffusion Models on Model-Based Latent Space.
Algorithms, 2023

Piece-wise Constant Image Segmentation with a Deep Image Prior Approach.
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.
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.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

A Machine Learning Approach to Speed up the Solution of the Distributor's Pallet Loading Problem.
Proceedings of the Numerical Computations: Theory and Algorithms, 2023

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance.
Proceedings of the Numerical Computations: Theory and Algorithms, 2023

Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques.
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.
Frontiers Appl. Math. Stat., 2022

Explainable bilevel optimization: an application to the Helsinki deblur challenge.
CoRR, 2022

CERBERUS: Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning.
CoRR, 2022

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.
Algorithms, 2022

Learning the Image Prior by Unrolling an Optimization Method.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Ritz-like values in steplength selections for stochastic gradient methods.
Soft Comput., 2020

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
On the Steplength Selection in Stochastic Gradient Methods.
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.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018
Artificial Neural Networks: The Missing Link Between Curiosity and Accuracy.
Proceedings of the Intelligent Systems Design and Applications, 2018


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