5 - FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions/ClipID:55853 previous clip next clip

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Recording date 2024-12-03

Via

Free

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Format

lecture

Date: Tue. December 3, 2024
Event: FAU MoD Lecture
Event type: On-site / Online
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

Session 01.

FAU MoD Lecture: The implicit bias phenomenon in deep learning
Speaker: Prof. Dr. Holger Rauhut
Affiliation: Mathematisches Institut der Universität München (Germany)

Session 02.

FAU MoD Lecture: Counterintuitive approximations
Speaker: Prof. Dr. Christian Bär
Affiliation: Institut für Mathematik. Universität Potsdam (Germany)

 

See more details of this FAU MoD lecture at:

https://mod.fau.eu/fau-mod-lecture-series-special-dec-2024/

 

 

 

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