Hennig, Philipp Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society; External Organizations;
https://proceedings.neurips.cc/paper/2021/hash/6734fa703f6633ab896eecbdfad8953a-Abstract.html (Publisher version)
https://doi.org/10.48550/arXivhttps://proceedings.neurips.cc/paper/2021/hash/6734fa703f6633ab896eecbdfad8953a-Abstract.html (Preprint)
Schmidt, J., Krämer, N., & Hennig, P. (2022). A Probabilistic State Space Model for Joint Inference from Differential Equations and Data. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (pp. 12374-12385). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper/2021/hash/6734fa703f6633ab896eecbdfad8953a-Abstract.html.
