A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. - Andrea Mendizabal; Tatiana Fountoukidou; Jan Hermann; Raphael Sznitman; Stephane Cotin (MICCAI (4), 2018)

Deep neural network solution of the electronic Schrödinger equation. - Jan Hermann; Zeno Schätzle; Frank Noé (CoRR, 2019)

Convergence to the fixed-node limit in deep variational Monte Carlo. - Zeno Schätzle; Jan Hermann; Frank Noé (CoRR, 2020)

Ab-initio quantum chemistry with neural-network wavefunctions. - Jan Hermann; James S. Spencer; Kenny Choo; Antonio Mezzacapo; W. Matthew C. Foulkes; David Pfau; Giuseppe Carleo; Frank Noé (CoRR, 2022)

Highly Accurate Real-space Electron Densities with Neural Networks. - Lixue Cheng; P. Bernát Szabó; Zeno Schätzle; Derk P. Kooi; Jonas Köhler 001; Klaas J. H. Giesbertz; Frank Noé; Jan Hermann; Paola Gori-Giorgi; Adam Foster 001 (CoRR, 2024)

Accurate and scalable exchange-correlation with deep learning. - Giulia Luise; Chin-Wei Huang; Thijs Vogels; Derk P. Kooi; Sebastian Ehlert; Stephanie Lanius; Klaas J. H. Giesbertz; Amir Karton; Deniz Gunceler; Megan Stanley; Wessel P. Bruinsma; Lin Huang; et al. (CoRR, 2025)

An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking. - Adam Foster 001; Zeno Schätzle; P. Bernát Szabó; Lixue Cheng; Jonas Köhler 001; Gino Cassella; Nicholas Gao; Jiawei Li; Frank Noé; Jan Hermann (CoRR, 2025)