Jonathan Heek
Google (United States)(US)
Publications by Year
Research Areas
Advanced Neural Network Applications, Meteorological Phenomena and Simulations, Model Reduction and Neural Networks, Domain Adaptation and Few-Shot Learning, Hydrological Forecasting Using AI
Most-Cited Works
- → MetNet: A Neural Weather Model for Precipitation Forecasting(2020)306 cited
- → Deep learning for twelve hour precipitation forecasts(2022)221 cited
- → Scaling Vision Transformers to 22 Billion Parameters(2023)118 cited
- → Efficiently Scaling Transformer Inference(2022)57 cited
- → Skillful Twelve Hour Precipitation Forecasts using Large Context Neural\n Networks(2021)40 cited
- → Simple diffusion: End-to-end diffusion for high resolution images(2023)27 cited
- → Bayesian Inference for Large Scale Image Classification(2019)16 cited
- → Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution(2023)15 cited
- → Multistep Consistency Models(2024)3 cited