most citedRecognition Models to Learn Dynamics from Partial Observations with Neural ODEs

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2026

Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Dynamics Models

Julia Berger, Bernd Frauenknecht, Sebastian Trimpe +1

Model-based reinforcement learning distinguishes between dynamics models operating on proprioceptive states and latent dynamics models typically operating on high-dimensional image…

eess.SY2022★ 5 cited

Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs

Mona Buisson-Fenet, Valery Morgenthaler, Sebastian Trimpe +1

Identifying dynamical systems from experimental data is a notably difficult task. Prior knowledge generally helps, but the extent of this knowledge varies with the application, and…