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