Hosking, J. Scott
- Environmental Sensor Placement with Convolutional Gaussian Neural Processes
2022/11/18 by Tom R. Andersson, Wessel P. Bruinsma, Andersson, Tom R. +18 · 5 citations
Computer Science · Environmental Science · #Gaussian Processes and Bayesian Inference #Air Quality Monitoring and Forecasting #Species Distribution and Climate Change
- Autoregressive Conditional Neural Processes
2023/03/25 by Wessel P. Bruinsma, Bruinsma, Wessel P., Stratis Markou +15 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Aardvark weather: end-to-end data-driven weather forecasting
2024/03/30 by Anna Vaughan, Stratis Markou, Vaughan, Anna +19 · 3 voices · 1 citation
Environmental Science · #Hydrological Forecasting Using AI #cs.LG #physics.ao-ph
- Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model
2022/03/28 by Parthipan, Raghul, Christensen, Hannah M., Hosking, J. Scott +1 · 2 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- Convolutional conditional neural processes for local climate downscaling
2021/01/20 by Anna Vaughan, Will Tebbutt, Vaughan, Anna +5 · 1 citation
Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Cryospheric studies and observations #Climate change and permafrost
- Sea ice detection using concurrent multispectral and synthetic aperture radar imagery
2024/01/11 by Rogers, Martin S J, Fox, Maria, Fleming, Andrew +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering