Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Alexandre Drouin

Alexandre Drouin

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

Aug 11, 2022
Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin, Elina Francovic-Fontaine, Alexandre Drouin, Jacques Corbeil

Figure 1 for RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

Figure 2 for RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

* 3 pages, 2 figures

Access Paper or Ask Questions

TACTiS: Transformer-Attentional Copulas for Time Series

Feb 07, 2022
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados

Figure 1 for TACTiS: Transformer-Attentional Copulas for Time Series

Figure 2 for TACTiS: Transformer-Attentional Copulas for Time Series

Figure 3 for TACTiS: Transformer-Attentional Copulas for Time Series

Figure 4 for TACTiS: Transformer-Attentional Copulas for Time Series

* 27 pages, 15 figures

Access Paper or Ask Questions

Typing assumptions improve identification in causal discovery

Jul 22, 2021
Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sebastien Lachapelle, Alexandre Drouin

Figure 1 for Typing assumptions improve identification in causal discovery

Figure 2 for Typing assumptions improve identification in causal discovery

Figure 3 for Typing assumptions improve identification in causal discovery

Figure 4 for Typing assumptions improve identification in causal discovery

* Accepted for presentation as a contributed talk at the Workshop on the Neglected Assumptions in Causal Inference (NACI) at the 38th International Conference on Machine Learning, 2021

Access Paper or Ask Questions

byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings

Jun 24, 2021
Xiang Zhang, Alexandre Drouin, Raymond Li

Figure 1 for byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings

Figure 2 for byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings

Figure 3 for byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings

Figure 4 for byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings

Access Paper or Ask Questions

In Search of Robust Measures of Generalization

Oct 22, 2020
Gintare Karolina Dziugaite, Alexandre Drouin, Brady Neal, Nitarshan Rajkumar, Ethan Caballero, Linbo Wang, Ioannis Mitliagkas, Daniel M. Roy

Figure 1 for In Search of Robust Measures of Generalization

Figure 2 for In Search of Robust Measures of Generalization

Figure 3 for In Search of Robust Measures of Generalization

Figure 4 for In Search of Robust Measures of Generalization

* 27 pages, 11 figures, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada

Access Paper or Ask Questions

Embedding Propagation: Smoother Manifold for Few-Shot Classification

Mar 09, 2020
Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste

Figure 1 for Embedding Propagation: Smoother Manifold for Few-Shot Classification

Figure 2 for Embedding Propagation: Smoother Manifold for Few-Shot Classification

Figure 3 for Embedding Propagation: Smoother Manifold for Few-Shot Classification

Figure 4 for Embedding Propagation: Smoother Manifold for Few-Shot Classification

Access Paper or Ask Questions