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Andreea Deac

Researcher, Mila | Université de Montréal PhD student in Machine Learning at Mila with Prof Jian Tang. I am broadly interested in how learning can be improved through the use of graph representations, having previously worked on algorithmic alignment for implicit planning and applications to biotechnology (drug discovery and drug combinations).

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Talks

Graph Machine Learning - Research and industry applications

01 December 2021, 01:00 PM
Mikhail Galkin Charles Hoyt Andreea Deac Sergei Ivanov Tiffany Callahan

Neural Algorithmic Reasoning: Combining Classical Algorithms and Neural Networks

03 December 2021, 09:40 PM
Andreea Deac

Workshops & Masterclasses are published!

18 December 2021, 12:00 PM
Ora Lassila Heather Hedden Milan Dojchinovski Andreea Deac Paramita Mirza Jason Barnard Dawn Anderson Bo Wang George Anadiotis Chence Shi Paco Nathan Cindy Krum Tiffany Callahan Zuobai Zhang Johannes Frey Carlo Luschi Peter Crocker Abhishek Gupta Clair Sullivan Sergei Ivanov Paraskevi Zerva Tanya Beck Ashleigh Faith Jörg Schad Marcus Nölke Mike Atkin Jeff Tang Ian Horrocks James Phare Ebru Cucen Ivo Velitchkov Raghu Prabhakar Konstantin Vinogradov Evan Sparks Alan Morrison Panos Alexopoulos Panos Papadopoulos Katariina Kari Andrea Volpini Charles Hoyt Mikhail Galkin Haonan Qiu Kirell Benzi Tara Raafat Zhaocheng Zhu Tiernan Ray Jan Forberg Bob van Luijt Michael Uschold Val G. Cook Michael Watson Jerry Michalski