Riccardo Finotello

According to our database, Riccardo Finotello authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Functional Renormalization for Signal Detection: Dimensional Analysis and Dimensional Phase Transition for Nearly Continuous Spectra Effective Field Theory.

Riccardo Finotello, Vincent Lahoche, Dine Ousmane Samary

CoRR, July, 2025

2024

Robustness of Tensor Decomposition-Based Neural Network Compression.

Théo Rudkiewicz, Mohamed Ouerfelli, Riccardo Finotello, Zakariya Chaouai, Mohamed Tamaazousti

Proceedings of the IEEE International Conference on Image Processing, 2024

2023

Deep learning complete intersection Calabi-Yau manifolds.

Harold Erbin, Riccardo Finotello

CoRR, 2023

Functional renormalization group for signal detection and stochastic ergodicity breaking.

Harold Erbin, Riccardo Finotello, Bio Wahabou Kpera, Vincent Lahoche, Dine Ousmane Samary

CoRR, 2023

2022

Deep multi-task mining Calabi-Yau four-folds.

Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti

Mach. Learn. Sci. Technol., 2022

Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning.

Riccardo Finotello, Daniel L'Hermite, Celine Quéré, Benjamin Rouge, Mohamed Tamaazousti, Jean-Baptiste Sirven

CoRR, 2022

2021

Inception neural network for complete intersection Calabi-Yau 3-folds.

Harold Erbin, Riccardo Finotello

Mach. Learn. Sci. Technol., 2021

HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials.

Riccardo Finotello, Mohamed Tamaazousti, Jean-Baptiste Sirven

CoRR, 2021

2020

Machine learning for complete intersection Calabi-Yau manifolds: a methodological study.

Harold Erbin, Riccardo Finotello

CoRR, 2020