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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
Mikhail Galkin Tiffany Callahan Andreea Deac Sergei Ivanov Charles Hoyt

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