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Riccardo Finotello
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2020 – today
- 2023
- [i7]Harold Erbin, Riccardo Finotello, Bio Wahabou Kpera, Vincent Lahoche, Dine Ousmane Samary:
Functional renormalization group for signal detection and stochastic ergodicity breaking. CoRR abs/2310.07499 (2023) - [i6]Harold Erbin, Riccardo Finotello:
Deep learning complete intersection Calabi-Yau manifolds. CoRR abs/2311.11847 (2023) - 2022
- [j2]Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti:
Deep multi-task mining Calabi-Yau four-folds. Mach. Learn. Sci. Technol. 3(1): 15006 (2022) - [i5]Riccardo Finotello, Daniel L'Hermite, Celine Quéré, Benjamin Rouge, Mohamed Tamaazousti, Jean-Baptiste Sirven:
Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning. CoRR abs/2210.03762 (2022) - 2021
- [j1]Harold Erbin, Riccardo Finotello:
Inception neural network for complete intersection Calabi-Yau 3-folds. Mach. Learn. Sci. Technol. 2(2): 02 (2021) - [i4]Harold Erbin, Riccardo Finotello, Robin Schneider, Mohamed Tamaazousti:
Deep multi-task mining Calabi-Yau four-folds. CoRR abs/2108.02221 (2021) - [i3]Riccardo Finotello, Mohamed Tamaazousti, Jean-Baptiste Sirven:
HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials. CoRR abs/2111.15187 (2021) - 2020
- [i2]Harold Erbin, Riccardo Finotello:
Inception Neural Network for Complete Intersection Calabi-Yau 3-folds. CoRR abs/2007.13379 (2020) - [i1]Harold Erbin, Riccardo Finotello:
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study. CoRR abs/2007.15706 (2020)
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