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Niall H. Robinson
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2020 – today
- 2021
- [j2]Ryan Abernathey, Tom Augspurger, Anderson Banihirwe, Charles C. Blackmon-Luca, Timothy J. Crone, Chelle L. Gentemann, Joseph Hamman, Naomi Henderson, Chiara Lepore, Theo A. McCaie, Niall H. Robinson, Richard P. Signell:
Cloud-Native Repositories for Big Scientific Data. Comput. Sci. Eng. 23(2): 26-35 (2021) - [j1]Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed:
Skilful precipitation nowcasting using deep generative models of radar. Nat. 597(7878): 672-677 (2021) - [i4]Suman V. Ravuri, Karel Lenc, Matthew Willson, Dmitry Kangin, Rémi Lam, Piotr Mirowski, Megan Fitzsimons, Maria Athanassiadou, Sheleem Kashem, Sam Madge, Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, Niall H. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed:
Skillful Precipitation Nowcasting using Deep Generative Models of Radar. CoRR abs/2104.00954 (2021) - 2020
- [i3]Rachel Prudden, Samantha V. Adams, Dmitry Kangin, Niall H. Robinson, Suman V. Ravuri, Shakir Mohamed, Alberto Arribas:
A review of radar-based nowcasting of precipitation and applicable machine learning techniques. CoRR abs/2005.04988 (2020)
2010 – 2019
- 2019
- [i2]Niall H. Robinson, Joe Hamman, Ryan Abernathey:
Science needs to rethink how it interacts with big data: Five principles for effective scientific big data systems. CoRR abs/1908.03356 (2019) - 2016
- [i1]Niall H. Robinson, Rachel Prudden, Alberto Arribas:
A Practical Approach to Spatiotemporal Data Compression. CoRR abs/1604.03688 (2016)
Coauthor Index
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