Concepedia
Statistics
Publications
5
Citations
180
H-Index
Active since
2018
Affiliations
McGill University(Current)
University of Toronto
Chris Finlay is an author at McGill University specializing in deep learning, engineering, and computer science.
Top concepts
EngineeringDeep LearningComputer ScienceMachine LearningData ScienceNeuroscienceSocial SciencesNonlinear DynamicsMultiphysics ModelingComputational Neuroscience
Publications per year
2018–2020
How to train your neural ODE: the world of Jacobian and kinetic regularization
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan et al. · arXiv (Cornell University) · 2020 · 76 citations · Full text
Engineering, Machine Learning, Recurrent Neural Network +20
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan et al. · International Conference on Machine Learning · 2020 · 29 citations
How to train your Neural ODE
Chris Finlay, Jörn-Henrik Jacobsen, Levon Nurbekyan et al. · 2020 · 27 citations
Engineering, Machine Learning, Recurrent Neural Network +16
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust
Chris Finlay, Jeff Calder, Bilal Abbasi et al. · arXiv (Cornell University) · 2018 · 25 citations · Full text
Artificial Intelligence, Engineering, Machine Learning +14
Improved robustness to adversarial examples using Lipschitz regularization of the loss
Chris Finlay, Adam M. Oberman, Bilal Abbasi · arXiv (Cornell University) · 2018 · 23 citations · Full text
Adversarial Examples, Data Augmentation, Image Analysis +15
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