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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
Charles Hoyt Sergei Ivanov Andreea Deac Mikhail Galkin Tiffany Callahan

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