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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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Graph Machine Learning - Research and industry applications

01 December 2021, 01:00 PM
Andreea Deac Sergei Ivanov Charles Hoyt Tiffany Callahan 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
Bob van Luijt Jerry Michalski Tara Raafat Bo Wang James Phare Katariina Kari Ivo Velitchkov Ora Lassila Heather Hedden Raghu Prabhakar Panos Papadopoulos Jason Barnard Paraskevi Zerva Mikhail Galkin Andreea Deac Haonan Qiu Abhishek Gupta Clair Sullivan Paco Nathan Cindy Krum Michael Uschold Jeff Tang Tiffany Callahan Evan Sparks Zhaocheng Zhu Konstantin Vinogradov Ebru Cucen Zuobai Zhang Mike Atkin Milan Dojchinovski Jörg Schad Ian Horrocks George Anadiotis Alan Morrison Johannes Frey Panos Alexopoulos Chence Shi Tanya Beck Carlo Luschi Jan Forberg Paramita Mirza Ashleigh Faith Charles Hoyt Val G. Cook Michael Watson Dawn Anderson Andrea Volpini Marcus Nölke Kirell Benzi Sergei Ivanov Peter Crocker Tiernan Ray