A Glimpse into Statistical Relalional AI - Indistinguishability for the Win!
Grunddaten zum Vortrag
Art des Vortrags: wissenschaftlicher Vortrag
Name der Vortragenden: Braun, Tanya
Datum des Vortrags: 15.11.2022
Vortragssprache: Englisch
URL zu den Präsentationsfolien: https://www.ifis.uni-luebeck.de/~braun/Talks/GeoInf_StaRAI.pdf
Informationen zur Veranstaltung
Name der Veranstaltung: GI Forum
Zeitraum der Veranstaltung: 15.11.2022
Ort der Veranstaltung: Münster
Veranstaltet von: Institut für Geoinformatik
Zusammenfassung
Statistical relational artificial intelligence, StaRAI for short, focuses on combining reasoning in uncertain environments with reasoning about individuals and relations in those environments. An important concept in StaRAI is indistinguishability, where groups of individuals behave indistinguishably in relation to each other in an environment. This indistinguishability manifests itself in symmetries in a propositional model and can be encoded compactly using logical constructs in relational models. Lifted inference then exploits indistinguishability for efficiency gains. This talk showcases how to encode indistinguishability in models using logical constructs and highlights various ways of using indistinguishability during probabilistic inference.Stichwörter: statistical relational AI; lifted inference; tractability; temporal inference; decision making
Vortragende der Universität Münster
| Braun, Tanya | Juniorprofessur für Praktische Informatik - Moderne Aspekte der Verarbeitung von Daten / Data Science (Prof. Braun) |