Search Results for author: Sebastien Lachapelle

Found 2 papers, 1 papers with code

Typing assumptions improve identification in causal discovery

1 code implementation22 Jul 2021 Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sebastien Lachapelle, Alexandre Drouin

Causal discovery from observational data is a challenging task that can only be solved up to a set of equivalent solutions, called an equivalence class.

Causal Discovery

Unsupervised one-to-many image translation

no code implementations ICLR 2019 Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikołaj Bińkowski, Aaron Courville, Yoshua Bengio, R. Devon Hjelm

We perform completely unsupervised one-sided image to image translation between a source domain $X$ and a target domain $Y$ such that we preserve relevant underlying shared semantics (e. g., class, size, shape, etc).

Translation Unsupervised Image-To-Image Translation

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