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Deep Learning
TACTiS: Transformer-Attentional Copulas for Time Series
The estimation of time-varying quantities is a fundamental component of decision making in fields such as healthcare and finance. …
Alexandre Drouin
,
Étienne Marcotte
,
Nicolas Chapados
International Conference on Machine Learning (ICML), 2022.
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Model Card
In search of robust measures of generalization
One of the principal scientific challenges in deep learning is explaining generalization, i.e., why the particular way the community …
Gintare Karolina Dziugaite
,
Alexandre Drouin
,
Brayden (Brady) Neal
,
Nitarshan Rajkumar
,
Ethan Victor Caballero
,
Linbo Wang
,
Ioannis Mitliagkas
,
Daniel M. Roy
Conference on Neural Information Processing Systems (NeurIPS), 2020.
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Phylogenetic Manifold Regularization: a semi-supervised approach to predict transcription factor binding sites
The computational prediction of transcription factor binding sites remains a challenging problems in bioinformatics, despite …
Faizy Ahsan
,
Alexandre Drouin
,
François Laviolette
,
Doina Precup
,
Mathieu Blanchette
International Conference on Bioinformatics and Biomedicine (BIBM), 2020.
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Deep learning for electromyographic hand gesture signal classification using transfer learning
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn …
Ulysse Cote-Allard
,
Cheikh Latyr Fall
,
Alexandre Drouin
,
Alexandre Campeau-Lecours
,
Clement Gosselin
,
Kyrre Glette
,
François Laviolette
,
Benoit Gosselin
Transactions on Neural Systems and Rehabilitation Engineering, 2018.
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