Jonas Kneifl

According to our database, Jonas Kneifl authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

VENI, VINDy, VICI: A generative reduced-order modeling framework with uncertainty quantification.

Paolo Conti, Jonas Kneifl, Andrea Manzoni, Attilio Frangi, Jörg Fehr, Steven L. Brunton, J. Nathan Kutz

Neural Networks, 2026

2025

Data-driven Surrogate Modeling of Structural Dynamical Systems via Latent Space Representations.

Jonas Kneifl

PhD thesis, 2025

2024

Data-driven identification of latent port-Hamiltonian systems.

Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, Bernard Haasdonk

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

On using Machine Learning Algorithms for Motorcycle Collision Detection.

Philipp Rodegast, Steffen Maier, Jonas Kneifl, Jörg Fehr

CoRR, 2024

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

2023

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

2021

Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme.

Jonas Kneifl, Julian Hay, Jörg Fehr

CoRR, 2021

Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators.

Jonas Nicodemus, Jonas Kneifl, Jörg Fehr, Benjamin Unger

CoRR, 2021