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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
Andreea Deac Charles Hoyt Tiffany Callahan Sergei Ivanov Mikhail Galkin

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