ELLIS Talks - Antonio Vergari

January 24, 2023, 2:00 p.m. (CET)

ELLIS – the European Laboratory for Learning and Intelligent Systems

Institute for Parallel and Distributed Systems (IPVS)

Time: January 24, 2023, 2:00 p.m. – 3:00 p.m.
Additional date: January 25, 2023, 10:00 a.m. – 1:00 p.m.
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On behalf of the Analytic Computing Department of the Institute for Parallel and Distributed Systems (IPVS) we would like to forward the following invitation to two ELLIS talks.

Dr. Antonio Vergari, who was just awarded an ERC grant related to probabilistic circuits and who gave a similar tutorial at NeuRIPS2022, will be giving two ELLIS talks at the University of Stuttgart:

Research Talk
Topic: Semantic Probabilistic Layers for Neuro-Symbolic Learning
Date: Tuesday, 24 January 2023  |   2:00 p.m. - 3:00 p.m.
Location: Room 150 (University of Stuttgart, Campus Vaihingen, Universitätsstrasse 34, Ground floor)

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Research Tutorial
Topic: Probabilistic Circuits: How Structure Can Boost Your Deep Generative Models
Date: Wednesday, 25 January 2023  |   10:00 a.m. - 1:00 p.m.
Location: Room 1.202 (University of Stuttgart, Campus Vaihingen, Universitätsstrasse 32, Second floor)

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Antonio Vergari is a Lecturer (Assistant Professor) in Machine Learning at the University of Edinburgh. His research focuses on efficient and reliable machine learning in the wild; tractable probabilistic modeling and combining learning with complex reasoning. He recently was awarded an ERC Starting Grant on automating probabilistic reasoning for trustworthy ML. Previously he was postdoc in the StarAI Lab lead by Guy Van den Broeck at UCLA. Before that he did a postdoc at the Max Planck Institute for Intelligent Systems in Tuebingen in the Empirical Inference Department of Bernhard Schoelkopf. He obtained a PhD in Computer Science and Mathematics at the University of Bari, Italy. He likes to tease and challenge the probabilistic ML community at large on how we desperately need reliable ML an AI models nowadays. To this extent, he organized a series of tutorials, workshops, seminars and events at top ML and AI venues such as UAI, ICML, AAAI, IJCAI and NeurIPS and last year a Dagstuhl Seminar.

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