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