Matt Amos — accepted AI-conference papers

2024

Building Timeseries Dataset: Empowering Large-Scale Building Analytics

Arian Prabowo, Xiachong LIN, Imran Razzak, Hao Xue, Emily W. Yap, Matt Amos +1

NeurIPS 2024poster

Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accounting for one-third of total energy usage, and carbon emissions. Optimizing building performance presents a vital opport…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2020

Ensembling geophysical models with Bayesian Neural Networks

Ushnish Sengupta, Matt Amos, Scott Hosking, Carl Edward Rasmussen, Matthew Juniper, Paul Young

NeurIPS 2020poster

Ensembles of geophysical models improve projection accuracy and express uncertainties. We develop a novel data-driven ensembling strategy for combining geophysical models using Bayesian Neural Networks, which infers spatiotemporally varying model weights and bias while accounting for heteroscedastic…

Cited by 31 Source ↗PDF ↗code ↗Scholar ↗