Empirische Inferenz
Conference Paper
2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
| Author(s): | Schmidt, J. and Kraemer, N. and Hennig, P. |
| Book Title: | Advances in Neural Information Processing Systems 34 (NeurIPS 2021) |
| Pages: | 12374--12385 |
| Year: | 2021 |
| Month: | December |
| Editors: | M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan |
| Publisher: | Curran Associates, Inc. |
| Bibtex Type: | Conference Paper (conference) |
| Event Name: | 35th Annual Conference on Neural Information Processing Systems |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | https://proceedings.neurips.cc/paper/2021/hash/6734fa703f6633ab896eecbdfad8953a-Abstract.html |
| Electronic Archiving: | grant_archive |
BibTex
@conference{SchKraHen21,
title = {A Probabilistic State Space Model for Joint Inference from Differential Equations and Data},
booktitle = {Advances in Neural Information Processing Systems 34 (NeurIPS 2021)},
pages = {12374--12385},
editors = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
publisher = {Curran Associates, Inc.},
month = dec,
year = {2021},
slug = {schkrahen21},
author = {Schmidt, J. and Kraemer, N. and Hennig, P.},
url = {https://proceedings.neurips.cc/paper/2021/hash/6734fa703f6633ab896eecbdfad8953a-Abstract.html},
month_numeric = {12}
}