Home ›
Entities
› academia
› Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
Research article (Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2022) · cited 24× · AI/ML
Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data
Summary
Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data is a scholarly article[1].
Key Facts
Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data. Retrieved May 24, 2026, from https://4ort.xyz/entity/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-sca
MLA“Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-sca.
BibTeX@misc{4ortxyz_gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-sca_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data}}, year = {2026}, url = {https://4ort.xyz/entity/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-sca}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gaussian processes meet NeuralODEs: a Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data — https://4ort.xyz/entity/gaussian-processes-meet-neuralodes-a-bayesian-framework-for-learning-the-dynamics-of-partially-observed-systems-from-sca (retrieved 2026-05-24)
