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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
Tiffany Callahan Mikhail Galkin Sergei Ivanov Charles Hoyt Andreea Deac

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