Julien Cornebise

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 13

Top Topics

Super Resolution Reconstruction

Satellite Imagery

Neural Computation

Low Resolution Images

Top Venues

Publications

Christopher T. Small, Ivan Vendrov, Esin Durmus, Hadjar Homaei, Elizabeth Barry, Julien Cornebise, Ted Suzman, Deep Ganguli, Colin Megill
Opportunities and Risks of LLMs for Scalable Deliberation with Polis. CoRR (2023)
Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. CoRR (2022)
Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. NeurIPS (2022)
Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise
Objects of violence: synthetic data for practical ML in human rights investigations. CoRR (2020)
Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira Ebrahimi Kahou, Julien Cornebise, Yoshua Bengio
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. CoRR (2020)
Laure Delisle, Alfredo Kalaitzis, Krzysztof Majewski, Archy de Berker, Milena Marin, Julien Cornebise
A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter. CoRR (2019)
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Boris N. Oreshkin, Julien Cornebise
Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. RML@ICLR (2019)
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise
DECoVaC: Design of Experiments with Controlled Variability Components. CoRR (2019)
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
Automated analysis of retinal imaging using machine learning techniques for computer vision. F1000Research 5 (2016)
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
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. F1000Research 5 (2016)
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra
Weight Uncertainty in Neural Network. ICML (2015)
Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis
Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation. CoRR (2015)
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra
Weight Uncertainty in Neural Networks. CoRR (2015)
Julien Cornebise, Eric Moulines, Jimmy Olsson
Adaptive sequential Monte Carlo by means of mixture of experts. Stat. Comput. 24 (3) (2014)
Julien Cornebise, Eric Moulines, Jimmy Olsson
Adaptive methods for sequential importance sampling with application to state space models. Stat. Comput. 18 (4) (2008)
Julien Cornebise, Eric Moulines, Jimmy Olsson
Adaptive methods for sequential importance sampling with application to state space models. EUSIPCO (2008)
Laurent Beaudoin, Louis-Aurélien Charbardes, Julien Cornebise, Christophe Dufour, Konrad Florczak, François Gachot, Pierre Schott
A meteosat second generation receiving, processing and storing images system developed by engineer students. IGARSS (2005)