Applied Mathematics Research
Adam M. Oberman,
Professor, Department of Mathematics and Statistics,
McGill University
Professor, Department of Mathematics and Statistics,
McGill University
Videos of conference presentations
Video (link): Generalization Theory in Machine Learning Tutorial at IPAM March 2020
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Video : Tutorial on SGD
Chris Finlay talk on Training Neural ODEs - regularization related to Optimal Transportation
Levon Nurbekyan on mean field games
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News
News:
Presentations:
Undergraduate Research:
- Canada CIFAR AI chairs cohort announced: cifar.ca/ai/canada-cifar-ai-chairs/
- Medium Post by Mariana Prazeres on Stochastic Gradient Descent
- Spotlight Talk at UDL ICML Workshop: Calibrated Top-1 Uncertainty Estimates for classifcation by score based models Adam Oberman Chris Finlay, Alexander Iannantuono, Tiago Salvador arxiv spotlight presentation at Spotlight Talk at UDL ICML Workshop (140 accepted papers, 6 contributed talks, 8 spotlight talks).
- Accepted at ICML 2020: How to train your neural ODE Chris Finlay, Jorn-Henrik Jacobsen, Levon Nurbekyan, Adam Oberman arxiv
- Survey paper for math audience: Partial differential equation regularization for supervised machine learning, Adam Oberman AMS Contemporary Math arxiv
Presentations:
- Accelerated SGD slides
- Mathematics applied to Deep Neural Networks (Nov 2018): slides, Video
- Presentation on Generalization of Deep Neural Networks and Adversarial Robustness (Oct 2018) slides
- Introductory (non research) talk for undergraduates on Math and Deep Neural Networks (Sept 2018), based on the JASON report
- Deep Relaxation: slides.pdf and Video of Lecture at 2017 09 IPAM Conference on Mean Field Games
Undergraduate Research:
- Student researchers are selected from my classes. If you are interested in research, please take my class (and do well).
About
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Adam Oberman.
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adam.oberman@mcgill.ca
Dept of Mathematics and Statistics Burnside Hall, Room 1106 805 Sherbrooke St W Montreal Quebec H3A0B9 Canada 
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