GANs for generating EFT models. - Harold Erbin; Sven Krippendorf (CoRR, 2018)

Casimir effect with machine learning. - Maxim N. Chernodub; Harold Erbin; I. V. Grishmanovskii; V. A. Goy; A. V. Molochkov (CoRR, 2019)

Topological defects and confinement with machine learning: the case of monopoles in compact electrodynamics. - Maxim N. Chernodub; Harold Erbin; V. A. Goy; A. V. Molochkov (CoRR, 2020)

Machine learning for complete intersection Calabi-Yau manifolds: a methodological study. - Harold Erbin; Riccardo Finotello (CoRR, 2020)

Nonperturbative renormalization for the neural network-QFT correspondence. - Harold Erbin; Vincent Lahoche; Dine Ousmane Samary (CoRR, 2021)

Inception neural network for complete intersection Calabi-Yau 3-folds. - Harold Erbin; Riccardo Finotello (Mach. Learn. Sci. Technol., 2021)

Characterizing 4-string contact interaction using machine learning. - Harold Erbin; Atakan Hilmi Firat (CoRR, 2022)

Renormalization in the neural network-quantum field theory correspondence. - Harold Erbin; Vincent Lahoche; Dine Ousmane Samary (CoRR, 2022)

Deep multi-task mining Calabi-Yau four-folds. - Harold Erbin; Riccardo Finotello; Robin Schneider; Mohamed Tamaazousti (Mach. Learn. Sci. Technol., 2022)

Non-perturbative renormalization for the neural network-QFT correspondence. - Harold Erbin; Vincent Lahoche; Dine Ousmane Samary (Mach. Learn. Sci. Technol., 2022)

Functional renormalization group for signal detection and stochastic ergodicity breaking. - Harold Erbin; Riccardo Finotello; Bio Wahabou Kpera; Vincent Lahoche; Dine Ousmane Samary (CoRR, 2023)

Deep learning complete intersection Calabi-Yau manifolds. - Harold Erbin; Riccardo Finotello (CoRR, 2023)