Publications

Deep Learning Complete Intersection Calabi–Yau Manifolds

Published in Machine Learning in Pure Mathematics and Theoretical Physics, 2023

We review advancements in deep learning techniques for complete intersection Calabi–Yau (CICY) 3- and 4-folds. Read more

Cite as: H. Erbin, R. Finotello, Deep Learning Complete Intersection Calabi–Yau Manifolds. In Machine Learning in Pure Mathematics and Theoretical Physics, World Scientific, pp. 151-181 (2023), edited by Y.-H. He https://doi.org/10.1142/9781800613706_0005

Interlaboratory comparison for quantitative chlorine analysis in cement pastes with laser induced breakdown spectroscopy

Published in Spectrochim. Acta B, 202, 106632, 2023

This paper presents the results of an interlaboratory comparison on the analysis of Cl in cement paste samples conducted by 12 laboratories in 10 countries. Read more

Cite as: T. Völker et al. 'Interlaboratory comparison for quantitative chlorine analysis in cement pastes with laser induced breakdown spectroscopy'. Spectrochim. Acta B, 202, 106632. https://doi.org/10.1016/j.sab.2023.106632

Deep Learning Complete Intersection Calabi–Yau Manifolds

Published in Machine Learning in Pure Mathematics and Theoretical Physics, pp. 151-181 (2023), 2023

We review advancements in deep learning techniques for complete intersection Calabi–Yau (CICY) 3- and 4-folds. Read more

Cite as: H. Erbin, R. Finotello, 'Deep Learning Complete Intersection Calabi–Yau Manifolds', in Machine Learning in Pure Mathematics and Theoretical Physics, pp. 151-181 (2023), World Scientific, edited by Y.-H. He. https://doi.org/10.1088/2632-2153/ac37f7

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

Published in arXiv, 2022

We build an end-to-end pipeline to deal with data augmentation, robust multitask deep calibration models and the trustworthiness assessment of libs predictions Read more

Cite as: R. Finotello, D. L'Hermite, C. Quéré, B. Rouge, M. Tamaazousti, J.-B. Sirven. 'Trustworthiness of Laser-Induced Breakdown Spectroscopy Predictions via Simulation-based Synthetic Data Augmentation and Multitask Learning'. arXiv:2210.03762. https://arxiv.org/abs/2210.03762

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

Published in Spectrochim. Acta B: At. Spectrosc., 192, 106418, 2022

We introduce HyperPCA, a new analysis tool for hyperspectral images to consistently reconstruct the spectroscopic signal, with a particular emphasis on LIBS data. Read more

Cite as: R. Finotello, M. Tamaazousti, J.-B. Sirven. 'HyperPCA: a Powerful Tool to Extract Elemental Maps from Noisy Data Obtained in LIBS Mapping of Materials'. Spectrochim. Acta B: At. Spectrosc., 192 (2022), 106418. https://doi.org/10.1016/j.sab.2022.106418

The Classical Solution for the Bosonic String in the Presence of three D-branes Rotated by Arbitrary SO(4) Elements

Published in Nucl. Phys. B, 941, 158-194, 2019

We consider the classical instantonic contribution to the open string configuration associated with three D-branes with relative rotation matrices in SO(4). Read more

Cite as: R. Finotello, I. Pesando. 'The Classical Solution for the Bosonic String in the Presence of three D-branes Rotated by Arbitrary SO(4) Elements'. Nucl. Phys. B 941 (2019), pp. 158-194. https://doi.org/10.1016/j.nuclphysb.2019.02.010