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BayLearn Symposium

BayLearn Symposium

15 - 16 жов 202607:00 - 01:00Santa Clara, United StatesEnglishOpen
LearnNetwork

Description

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings. All accepted abstracts will be presented as posters, a few will be selected for short oral presentations or lightning talks. Our primary goal is to foster discussion!

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Meet the speakers

Alice Xiang

Alice Xiang

Theme:

Global Head of AI Governance Sony

Jerremy Holland

Jerremy Holland

Theme:

Apple

Jean-François Paiement

Jean-François Paiement

Theme:

AT&T Research

Sudarshan Lamkhede

Sudarshan Lamkhede

Theme:

Netflix Research

Leilani Gilpin

Leilani Gilpin

Theme:

UC Santa Cruz

Samy Bengio

Samy Bengio

Theme:

Apple

Isabelle Guyon

Isabelle Guyon

Theme:

Google, ChaLearn, and U. Paris-Saclay

Niloufar (Nilou) Salehi

Niloufar (Nilou) Salehi

Theme:

UC Berkeley

Dumitru Erhan

Dumitru Erhan

Theme:

Google

Yi Fang

Yi Fang

Theme:

Santa Clara University

Ian Lane

Ian Lane

Theme:

UC Santa Cruz

Mohak Shah

Mohak Shah

Theme:

Praescivi Advisors

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BayLearn Symposium