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Julien Cornebise
Person information
- affiliation: University College London, UK
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Journal Articles
- 2014
- [j2]Julien Cornebise, Eric Moulines, Jimmy Olsson:
Adaptive sequential Monte Carlo by means of mixture of experts. Stat. Comput. 24(3): 317-337 (2014) - 2008
- [j1]Julien Cornebise, Eric Moulines, Jimmy Olsson:
Adaptive methods for sequential importance sampling with application to state space models. Stat. Comput. 18(4): 461-480 (2008)
Conference and Workshop Papers
- 2022
- [c5]Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis:
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. NeurIPS 2022 - 2019
- [c4]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 - 2015
- [c3]Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra:
Weight Uncertainty in Neural Network. ICML 2015: 1613-1622 - 2008
- [c2]Julien Cornebise, Eric Moulines, Jimmy Olsson:
Adaptive methods for sequential importance sampling with application to state space models. EUSIPCO 2008: 1-5 - 2005
- [c1]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: 3159-3162
Editorship
- 2016
- [e1]Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise:
Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Lecture Notes in Computer Science 10008, 2016, ISBN 978-3-319-46975-1 [contents]
Informal and Other Publications
- 2023
- [i10]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 abs/2306.11932 (2023) - 2022
- [i9]Julien Cornebise, Ivan Orsolic, Freddie Kalaitzis:
Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. CoRR abs/2207.06418 (2022) - 2020
- [i8]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 abs/2002.06460 (2020) - [i7]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 abs/2004.01030 (2020) - 2019
- [i6]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 abs/1902.03093 (2019) - [i5]Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Parmida Atighehchian, Boris N. Oreshkin, Julien Cornebise:
DECoVaC: Design of Experiments with Controlled Variability Components. CoRR abs/1909.09859 (2019) - 2016
- [i4]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: 1573 (2016) - [i3]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: 2104 (2016) - 2015
- [i2]Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra:
Weight Uncertainty in Neural Networks. CoRR abs/1505.05424 (2015) - [i1]Joel Z. Leibo, Julien Cornebise, Sergio Gómez, Demis Hassabis:
Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation. CoRR abs/1512.08457 (2015)
Coauthor Index
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