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