ELLIS Talks – Antonio Vergari

On behalf of the Analytic Computing Department of the Institute for Parallel and Distributed Systems (IPVS) we would like to announce the following two ELLIS talks.

Dr. Antonio Vergari, who has just been awarded an ERC grant on probabilistic circuits and who gave a similar tutorial at NeuRIPS2022, will give two ELLIS talks at the University of Stuttgart.

Research Talk

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

Find out more about the speaker and the topic here.

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)

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 modelling and combining learning with complex reasoning. He was recently awarded an ERC Starting Grant on automating probabilistic reasoning for trustworthy ML. Previously, he was a postdoc in the StarAI Lab lead by Guy Van den Broeck at UCLA. Before that, he was a postdoc at the Max Planck Institute for Intelligent Systems in Tübingen in the Empirical Inference Department of Bernhard Schoelkopf. He holds a PhD in Computer Science and Mathematics from the University of Bari, Italy. He likes to tease and challenge the probabilistic ML community at large on how we desperately need reliable ML and AI models today. To this extent, he organised 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.