| Website Version | GitHub Version |
Department of Atmospheric and Climate Science at the University of Washington
This is the collection of all the MLJC meeting materials.
| MLJC Meetings | Sort by Topics | Resources |
[Summer 2025] Transformer Workshop: https://github.com/eliotjkim/mljc-transformers-workshop[Summer 2025] Auto-Encoder Workshop: https://github.com/DominikStiller/mljc-autoencoder-workshop[Winter 2025] Koopman Autoencoders and Sea Surface Height: https://doi.org/10.22541/essoar.172801453.37313793/v1[Spring 2025] Ai2 Climate Emulator: https://arxiv.org/pdf/2502.10893[Spring 2025] Spherical Fourier Neural Operators: https://proceedings.mlr.press/v202/bonev23a/bonev23a.pdf[Spring 2024] Simulate the Butterfly Effect: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023GL105747[Spring 2024] Weather Prediction using the HEALPix Mesh: https://arxiv.org/pdf/2311.06253[Spring 2024] Learning skillful medium-range global weather forecasting: https://www.science.org/doi/10.1126/science.adi2336[Autumn 2024] CNN for sea ice concentration and velocity prediction: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023GL105747[Autumn 2024] A Review of Machine Learning for Convective Weather: https://doi.org/10.1175/AIES-D-22-0077.1[Winter 2025] WoFSCast and Thunderstorm: https://doi.org/10.22541/essoar.172574503.30734251/v1[Winter 2025] OMG-HD: A High-Resolution AI Weather Model Forecasts from Observations: https://arxiv.org/pdf/2412.18239[Summer 2025] BoltCast: Deep Learning for Medium-Range Lightning Prediction: (Missing Link)[Autumn 2024] Kilometer-Scale Convection using Generative Diffusion Modeling: https://arxiv.org/pdf/2408.10958[Winter 2025] Score-Based Generative Model Derivation: https://youtu.be/HoKDTa5jHvg?si=ZnEdaS2-gSCRnDTO[Spring 2025] Dynamical-generative downscaling: https://arxiv.org/pdf/2410.01776[Spring 2025] A foundation model for the Earth system: https://www.nature.com/articles/s41586-025-09005-y[Autumn 2024] Predictability Limit of the 2021 Pacific Northwest Heatwave: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024GL110651[Autumn 2024] Evidential Deep Learning: https://doi.org/10.1175/AIES-D-23-0093.1[Summer 2024] Elements of Statistical Learning: https://hastie.su.domains/ElemStatLearn/[Spring 2024] Neural Network Series: https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&si=prxIQwqnCVVfFq0-