Published in arXiv:2310.07499, 2023
This paper follows a recent bibliographic line which tackles this issue with field-theoretical methods. Read more
Cite as: H. Erbin, R. Finotello, B. W. Kpera, V. Lahoche, D. Ousmane Samary. 'Functional renormalization group for signal detection and stochastic ergodicity breaking'. arXiv:2310.07499. https://arxiv.org/abs/2310.07499
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
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
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
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
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
Published in Mach. Learn.: Sci. Technol. 3 015006, 2021
We introduce CICYMiner, a multi-task minig architecture capable of reaching perfect accuracy on the prediction of Hodge numbers of CICY 4-folds. Read more
Cite as: H. Erbin, R. Finotello, R. Schneider, M. Tamaazousti. 'Deep Multi-task Mining Calabi-Yau Four-folds'. Mach. Learn.: Sci. Technol. 3 01500. https://doi.org/10.1088/2632-2153/ac37f7
Published in Nucl. Phys. B, 969, 115464, 2021
We consider a two-dimensional fermion on the strip in the presence of an arbitrary number of zero-dimensional boundary changing defects. Read more
Cite as: R. Finotello, I. Pesando. '2D Fermion on the Strip with Boundary Defects as a CFT with Excited Spin Fields'. Nucl.Phys.B 969 (2021) 115464 https://doi.org/10.1016/j.nuclphysb.2021.115464
Published in Phys. Rev. D, 103, 12, 126014, 2021
We revisit the question of predicting both Hodge numbers $h^{1,1}$ and $h^{2,1}$ of Complete Intersection Calabi-Yau 3-folds using machine learning. Read more
Cite as: H. Erbin, R. Finotello. 'Machine Learning for Complete Intersection Calabi-Yau Manifolds: a Methodological Study'. Phys.Rev.D 103 (2021) 12, 126014 https://doi.org/10.1103/PhysRevD.103.126014
Published in Mach. Learn.: Sci. Technol. 2 02LT03, 2021
We introduce a neural network inspired by Google’s Inception model to compute the Hodge number $h^{1,1}$ of Complete Intersection Calabi-Yau 3-folds. Read more
Cite as: H. Erbin, R. Finotello. 'Inception Neural Network for Complete Intersection Calabi-Yau 3-folds'. Mach. Learn.: Sci. Technol. 2 02LT03. https://doi.org/10.1088/2632-2153/abda61
Published in Eur. Phys. J. C, 80, 476, 2020
We consider time-dependent orbifolds in String Theory and we show that divergences are not associated with a gravitational backreaction since they appear in the open string sector, too. Read more
Cite as: A. Arduino, R. Finotello, I. Pesando. 'On the Origin of Divergences in Time-dependent Orbifolds'. Eur. Phys. J. C 80 (2020), p. 476. https://doi.org/10.1140/epjc/s10052-020-8010-y
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