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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
Sergei Ivanov Andreea Deac Tiffany Callahan Charles Hoyt Mikhail Galkin

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