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About Petar Veličković
Staff Research Scientist at DeepMind | Affiliated Lecturer at University of Cambridge
Recent Videos from Petar Veličković
AI x Mathematics
We present AI as the mathematician’s "pocket calculator of the 21st century", and how it can be used to derive top-tier mathematical results in areas as diverse as representation theory and knot theory. The significance of our results has been recognised by the journal Nature, where our work featur… Everything is Connected: Deep Learning on Graphs
For my first in-person talk in nearly two years, I give a "bird's eye" view of graph representation learning, motivating it as one of the most important emerging areas of the machine learning landscape.
MLinPL x CUAI Cambridge Pre-meeting, 30 October 2021 @ The Cambridge Union
Slide deck: https://p… Geometric Deep Learning: GNNs Beyond Permutation Equivariance
Casting graph neural networks (GNNs) within the Geometric Deep Learning blueprint, then demonstrating how we can use the blueprint to extend GNNs beyond the notion of permutation equivariance.
Guest Lecture at the Machine Learning with Graphs (CS224W) course, Stanford University, 30 November 2021
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