Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators. - Jonas Nicodemus; Jonas Kneifl; Jörg Fehr; Benjamin Unger (CoRR, 2021)

Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme. - Jonas Kneifl; Julian Hay; Jörg Fehr (CoRR, 2021)

Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction. - Jonas Kneifl; David Rosin; Oliver Röhrle; Jörg Fehr (CoRR, 2023)

Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks. - Jonas Kneifl; Jörg Fehr; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

On using Machine Learning Algorithms for Motorcycle Collision Detection. - Philipp Rodegast; Steffen Maier; Jonas Kneifl; Jörg Fehr (CoRR, 2024)

VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification. - Paolo Conti; Jonas Kneifl; Andrea Manzoni; Attilio Frangi; Jörg Fehr; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

Data-driven identification of latent port-Hamiltonian systems. - Johannes Rettberg; Jonas Kneifl; Julius Herb; Patrick Buchfink; Jörg Fehr; Bernard Haasdonk (CoRR, 2024)