25 citations
- University of CanterburyNZ3 papers
- Education New ZealandNZ2 papers
- Victoria University of WellingtonNZ2 papers
- ARC Centre of Excellence for Climate System ScienceAU1 paper
- Arts, Sciences and Technology University in LebanonLB1 paper
- Carnegie Mellon UniversityUS1 paper
- Christ UniversityIN1 paper
- Digital Science (United States)US1 paper
- Laboratoire Jacques-Louis LionsFR1 paper
- Lebanese UniversityLB1 paper
- New York UniversityUS1 paper
- Nvidia (United States)US1 paper
11 papers
Modelling the transmission and impact of Omicron variants of Covid-19 in different ethnicity groups in Aotearoa New Zealand
Samik Datta, Vincent X Lomas, Nicole Satherley +2
Previous pandemics, including influenza pandemics and Covid-19, have disproportionately impacted Māori and Pacific populations in Aotearoa New Zealand. The reasons for this are mul…
Downscaling with AI reveals the large role of internal variability in fine-scale projections of climate extremes
Neelesh Rampal, Peter B. Gibson, Steven C. Sherwood +3
The computational cost of dynamical downscaling limits ensemble sizes in regional downscaling efforts. We present a newly developed generative-AI approach to greatly expand the sco…
Experiences and attitudes toward working remotely from home in a time of pandemic: A snapshot from a New Zealand-based online survey
Edgar Pacheco
Due to the Covid-19 pandemic, employees from around the world were compelled to work remotely from home and, in many cases, without much preparation. A substantial body of internat…
Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand
Michael John Plank, Pubudu Senanayake, Richard Lyon
Background. The excess mortality rate in Aotearoa New Zealand during the Covid-19 pandemic is frequently estimated to be among the lowest in the world. However, to facilitate inter…
fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence
Francis Williams, Jiahui Huang, Jonathan Swartz +9
We present fVDB, a novel GPU-optimized framework for deep learning on large-scale 3D data. fVDB provides a complete set of differentiable primitives to build deep learning architec…
Quantifying age-specific household contacts in Aotearoa New Zealand for infectious disease modelling
Caleb Sullivan, Pubudu Senanayake, Michael J. Plank
Accounting for population age structure and age-specific contact patterns is crucial for accurate modelling of human infectious disease dynamics and impact. A common approach is to…