| dc.contributor.author | Bamler, Robert | |
| dc.contributor.author | Hennig, Philipp | |
| dc.date.accessioned | 2024-12-03T10:15:26Z | |
| dc.date.available | 2024-12-03T10:15:26Z | |
| dc.date.issued | 2024-10-21 | |
| dc.identifier.uri | http://hdl.handle.net/10900/159276 | |
| dc.language.iso | en | de_DE |
| dc.publisher | arXiv | de_DE |
| dc.relation.uri | https://doi.org/10.48550/arXiv.2407.13711 | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning | de_DE |
| dc.type | Preprint | de_DE |
| utue.personen.roh | Bamler, Robert | |
| utue.personen.roh | Hennig, Philipp | |
| utue.personen.roh | Fortuin, Vincent | |
| utue.personen.roh | Pförtner, Marvin | |
| utue.personen.roh | Cinquin, Tristan |
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