| dc.date.accessioned | 2025-01-08T19:41:26Z | |
| dc.date.available | 2025-01-08T19:41:26Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | http://publications.mfo.de/handle/mfo/4194 | |
| dc.description.abstract | Analysing learned concepts for PDE-based parameter identification problems requires input from different research areas such as inverse problems, partial differential equations, statistics and mathematical foundations of deep learning. This workshop brought together a critical mass of experts in the various field. A thorough mathematical theory for PDE-based inverse problems using learned concepts is within reach in the coming few years and the inspiration of this Oberwolfach meeting will substantially influence this development. | |
| dc.title | Deep Learning for PDE-based Inverse Problems | |
| dc.rights.license | Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. | de |
| dc.rights.license | This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties. | en |
| dc.identifier.doi | 10.14760/OWR-2024-48 | |
| local.series.id | OWR-2024-48 | |
| local.subject.msc | 44 | |
| local.subject.msc | 35 | |
| local.subject.msc | 65 | |
| local.date-range | 27 Oct - 01 Nov 2024 | |
| local.workshopcode | 2444 | |
| local.workshoptitle | Deep Learning for PDE-based Inverse Problems | |
| local.organizers | Simon Arridge, London; Peter Maaß, Bremen; Carola-Bibiane Schönlieb, Cambridge UK | |
| local.report-name | Workshop Report 2024,48 | |
| local.opc-photo-id | 2444 | |
| local.publishers-doi | 10.4171/OWR/2024/48 | |
