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 (IGARSS, 2005)

Adaptive methods for sequential importance sampling with application to state space models. - Julien Cornebise; Eric Moulines; Jimmy Olsson (Stat. Comput., 2008)

Adaptive sequential Monte Carlo by means of mixture of experts. - Julien Cornebise; Eric Moulines; Jimmy Olsson (Stat. Comput., 2014)

Weight Uncertainty in Neural Network. - Charles Blundell; Julien Cornebise; Koray Kavukcuoglu; Daan Wierstra (ICML, 2015)

Weight Uncertainty in Neural Networks. - Charles Blundell; Julien Cornebise; Koray Kavukcuoglu; Daan Wierstra (CoRR, 2015)

Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation. - Joel Z. Leibo; Julien Cornebise; Sergio Gómez; Demis Hassabis (CoRR, 2015)

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 001; Rosalind Raine; Kevin Sullivan; Syed Ali Moinuddin; et al. (F1000Research, 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 002; Mike Johnson; Cían Hughes; Carlton Chu; Joseph R. Ledsam; Trevor Back; Tunde Peto; Geraint Rees 001; et al. (F1000Research, 2016)

Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. - Thomas Boquet; Laure Delisle; Denis Kochetkov; Nathan Schucher; Boris N. Oreshkin; Julien Cornebise (RML@ICLR, 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)

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)

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)

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)

Open High-Resolution Satellite Imagery: The WorldStrat Dataset - With Application to Super-Resolution. - Julien Cornebise; Ivan Orsolic; Freddie Kalaitzis (NeurIPS, 2022)

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)