Nick O. Jaensson

According to our database, Nick O. Jaensson authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models.

Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur, Nick O. Jaensson, Clemens Verhoosel

CoRR, April, 2026

Identification of Port-Hamiltonian Differential-Algebraic Equations from Input-Output Data.

N. Hagelaars, G. J. E. van Otterdijk, Sarvin Moradi, Roland Tóth, Nick O. Jaensson, Maarten Schoukens

CoRR, January, 2026

Bayesian Model Selection for Complex Flows of Yield Stress Fluids.

Aricia Rinkens, Clemens V. Verhoosel, Alexandra Alicke, Patrick D. Anderson, Nick O. Jaensson

CoRR, January, 2026

Port-Hamiltonian neural networks with output error noise models.

Sarvin Moradi, Gerben Izaak Beintema, Nick O. Jaensson, Roland Tóth, Maarten Schoukens

Autom., 2026

2025

Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks.

G. J. E. van Otterdijk, Sarvin Moradi, Siep Weiland, Roland Tóth, Nick O. Jaensson, Maarten Schoukens

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2023

Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models.

Sarvin Moradi, Nick O. Jaensson, Roland Tóth, Maarten Schoukens

CoRR, 2023