Learning-based Defect Recognition for Quasi-Periodic Microscope Images. - Nik Dennler; Antonio Foncubierta-Rodríguez; Titus Neupert; Marilyne Sousa (CoRR, 2020)

Introduction to Machine Learning for the Sciences. - Titus Neupert; Mark H. Fischer; Eliska Greplova; Kenny Choo; Michael Denner (CoRR, 2021)

Algorithmic Error Mitigation Scheme for Current Quantum Processors. - Philippe Suchsland; Francesco Tacchino; Mark H. Fischer; Titus Neupert; Panagiotis Kl. Barkoutsos; Ivano Tavernelli (Quantum, 2021)

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data. - Jens Oppliger; Michael M. Denner; Julia Küspert; Ruggero Frison; Qisi Wang; Alexander Morawietz; Oleh Ivashko; Ann-Christin Dippel; Martin von Zimmermann; Niels B. Christensen; Tohru Kurosawa; Naoki Momono; et al. (CoRR, 2022)

IrRep: Symmetry eigenvalues and irreducible representations of ab initio band structures. - Mikel Iraola; Juan L. Mañes; Barry Bradlyn; Matthew K. Horton; Titus Neupert; Maia G. Vergniory; Stepan S. Tsirkin (Comput. Phys. Commun., 2022)

Weak signal extraction enabled by deep neural network denoising of diffraction data. - Jens Oppliger; Michael M. Denner; Julia Küspert; Ruggero Frison; Qisi Wang; Alexander Morawietz; Oleh Ivashko; Ann-Christin Dippel; Martin von Zimmermann; Izabela Bialo; Leonardo Martinelli; Benoît Fauqué; et al. (Nat. Mac. Intell., 2024)