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Objects of violence: synthetic data for practical ML in human rights investigations

Apr 01, 2020
Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise

* Presented at NeurIPS 2019 in the AI for Social Good track 

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HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

Feb 15, 2020
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio

* 15 pages, 5 figures 

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DECoVaC: Design of Experiments with Controlled Variability Components

Sep 21, 2019
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris Oreshkin, Julien Cornebise


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A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter

Jan 31, 2019
Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise

* Workshop on AI for Social Good, NeurIPS 2018 

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Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation

Dec 28, 2015
Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis

* 13 pages, 4 figures 

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Weight Uncertainty in Neural Networks

May 21, 2015
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

* In Proceedings of the 32nd International Conference on Machine Learning (ICML 2015) 

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Discussion of "Riemann manifold Langevin and Hamiltonian Monte Carlo methods'' by M. Girolami and B. Calderhead

Oct 30, 2010
Luke Bornn, Julien Cornebise, Gareth W. Peters

* To appear in Journal of the Royal Statitistical Society Series B, in the discussion of the read paper by Calderhead and Girolami 2010 

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