Abstract
This short lecture will present three different approaches to graph generation from the ML literature, using a variety of techniques based on deep learning and probabilistic building blocks.
Date
Jan 17, 2020 2:00 PM — 4:00 PM
Location
William Gates Building
JJ Thomson Avenue, Cambridge, CB3 0FD, United Kingdom
Dr Cătălina Cangea
Quantitative Researcher
Quantitative researcher with 9 years of ML experience, most recently co-lead of Generative Music at Google DeepMind, with a PhD from the University of Cambridge, and inhaler of music :) Motivated by contributing ML-based knowledge and improvements to real-world systems!