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