Have you purchased yours?

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).

About this speaker

The Speaker is updating their bio. Please check back here later.

Contact This Speaker

Talks

Graph Machine Learning - Research and industry applications

01 December 2021, 01:00 PM
Tiffany Callahan Sergei Ivanov Charles Hoyt Mikhail Galkin 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
Abhishek Gupta Val G. Cook Tanya Beck Ivo Velitchkov Peter Crocker Katariina Kari Panos Papadopoulos Kirell Benzi George Anadiotis Dawn Anderson Paramita Mirza Marcus Nölke Haonan Qiu Bo Wang Zhaocheng Zhu Jason Barnard Charles Hoyt Alan Morrison Andrea Volpini Panos Alexopoulos Tara Raafat Michael Uschold James Phare Sergei Ivanov Mike Atkin Jerry Michalski Michael Watson Ashleigh Faith Andreea Deac Tiffany Callahan Bob van Luijt Konstantin Vinogradov Raghu Prabhakar Heather Hedden Jörg Schad Carlo Luschi Clair Sullivan Evan Sparks Jeff Tang Paraskevi Zerva Zuobai Zhang Ebru Cucen Ora Lassila Milan Dojchinovski Mikhail Galkin Paco Nathan Jan Forberg Ian Horrocks Chence Shi Cindy Krum Johannes Frey Tiernan Ray