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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 Andreea Deac Charles Hoyt

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