Julien Cornebise

According to our database, Julien Cornebise authored at least 15 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Opportunities and Risks of LLMs for Scalable Deliberation with Polis.

Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, Colin Megill

CoRR, 2023

2022

Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution.

Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

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

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

CoRR, 2020

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

Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio

CoRR, 2020

2019

DECoVaC: Design of Experiments with Controlled Variability Components.

Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise

CoRR, 2019

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

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

CoRR, 2019

Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning.

Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Boris N. Oreshkin, Julien Cornebise

Proceedings of the Reproducibility in Machine Learning, 2019

2016

Automated analysis of retinal imaging using machine learning techniques for computer vision.

Jeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise

F1000Research, 2016

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.

Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise

F1000Research, 2016

2015

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

Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis

CoRR, 2015

Weight Uncertainty in Neural Networks.

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

CoRR, 2015

Weight Uncertainty in Neural Network.

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Adaptive sequential Monte Carlo by means of mixture of experts.

Julien Cornebise, Eric Moulines, Jimmy Olsson

Stat. Comput., 2014

2008

Adaptive methods for sequential importance sampling with application to state space models.

Julien Cornebise, Eric Moulines, Jimmy Olsson

Stat. Comput., 2008

2005

A meteosat second generation receiving, processing and storing images system developed by engineer students.

Laurent Beaudoin, Louis-Aurélien Charbardes, Julien Cornebise, Christophe Dufour, Konrad Florczak, François Gachot, Pierre Schott

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005