Appa handles multiple tasks traditionally requiring separate systems, all within the same probabilistic framework and without retraining:
- Reanalysis (filling gaps in historical data)
- Filtering (estimating current states)
- Forecasting (predicting future states)

<proud advisor>
Hot off the arXiv! 🦬 "Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation" 🌍 Appa is our novel 1.5B-parameter probabilistic weather model that unifies reanalysis, filtering, and forecasting in a single framework. A thread 🧵

Sharing this again, to cheer up my students after rough #ICLR2025 reviews. We present NeuralMPM, a neural emulation framework for particle-based simulations. Full paper at arxiv.org/abs/2408.15753