Simon Guiroy

Simon Guiroy
simonguiroy at umontreal dot ca

I am a PhD candidate in Deep Learning at MILA, enrolled at the Universite de Montreal. I am supervised by Prof. Chris Pal, and also co-supervised by Prof. Sarath Chandar . I completed my Master's in Deep Learning (Computer Science) at MILA in 2019, and completed my Bachelors of Electrical Engineering at Polytechnique Montreal in 2016.

I've studied a variety of graduate courses and topics in machine learning, including Deep Learning, Reinforcement Learning, Probabilistics Graphical Models, Continual Learning, Computer Vision.

My non differentiable passions include music, playing flamenco guitar and learning foreign languages.

Email / CV / LinkedIn / Github / Twitter

Research

My main research interests are Deep Learning and the wide field of "Learning to Learn". I am interested in understanding how deep neural networks can learn representations that generalize well to new data distributions, tasks and domains, and how neural networks can "learn to learn" such representations.

Teaching experience

[Winter 2020] Teaching assistant for the course "Artificial intelligence: probabilistic and learning techniques", Polytechnique Montreal.
[Summer 2018] Built and taught a course on Python programming, MISE Research Program , Ghana. In collaboration with ElementAI and Mila. Condensed teaching of Python programming to highly skilled high school students, to prepare their participation in machine learning research projects.

Papers

	Towards Understanding Generalization in Gradient-Based Meta-Learning Simon Guiroy, Vikas Verma, Christopher Pal ICML 2019 Workshop, Understanding and Improving Generalization in Deep Learning [paper]
	On the reproducibility of gradient-based Meta-Reinforcement Learning baselines Tristan Deleu, Simon Guiroy, Seyedarian Hosseini ICML 2018 Workshop, Reproducibility in Machine Learning [paper]
	Application of the Kaldi toolkit for continuous speech recognition using Hidden-Markov Models and Deep Neural Networks Simon Guiroy, Ricardo de Cordoba, Amelia Villegas Iberspeech, 2016 [paper]

Projects

	Recognizing Violent Human Actions in Video with Deep Learning [GitHub]
	Extracting Information using Ocular Commands and Augmented Reality [Report]

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