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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 Mikhail Galkin Charles Hoyt Tiffany Callahan Sergei Ivanov

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