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