dc.contributor.author |
Krämer, Nicholas |
|
dc.contributor.author |
Hennig, Philipp |
|
dc.date.accessioned |
2025-03-28T05:41:08Z |
|
dc.date.available |
2025-03-28T05:41:08Z |
|
dc.date.issued |
2024 |
|
dc.identifier.issn |
1532-4435 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/163365 |
|
dc.language.iso |
en |
en |
dc.publisher |
Brookline : Microtome Publ |
de_DE |
dc.relation.uri |
http://jmlr.org/papers/v25/20-1423.html |
de_DE |
dc.subject.ddc |
004 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.title |
Stable Implementation of Probabilistic ODE Solvers |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20241001000000_03368 |
|
utue.personen.roh |
Kraemer, Nicholas |
|
utue.personen.roh |
Hennig, Philipp |
|
dcterms.isPartOf.ZSTitelID |
Journal of Machine Learning Research |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article 111 |
de_DE |
dcterms.isPartOf.ZS-Volume |
25 |
de_DE |
utue.fakultaet |
Universität Tübingen (ohne Fakultätsangabe) |
|