| ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation S Yu, W Hannah, L Peng, J Lin, MA Bhouri, R Gupta, B Lütjens, JC Will, ... 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023 | 25 | 2023 |
| ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators S Yu, WM Hannah, L Peng, MA Bhouri, R Gupta, J Lin, B Lütjens, JC Will, ... arXiv preprint arXiv:2306.08754, 2023 | 12 | 2023 |
| Progressive Compression with Universally Quantized Diffusion Models Y Yang, JC Will, S Mandt arXiv preprint arXiv:2412.10935, 2024 | 1 | 2024 |
| Towards Scalable Compression with Universally Quantized Diffusion Models Y Yang, J Will, S Mandt Workshop on Machine Learning and Compression, NeurIPS 2024, 2024 | | 2024 |
| Enhancing Realism in Batch Distillation Simulations: Data-Efficient Time Series Style Transfer with Transformers J Will, J Arweiler, I Jungjohann, J Werner, M Nagda, M Bortz, H Hasse, ... Machine Learning for Chemistry and Chemical Engineering Workshop, ECML 2024, 2024 | | 2024 |
| Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds JC Will, AM Jenney, KD Lamb, MS Pritchard, C Kaul, PL Ma, K Pressel, ... Machine Learning and the Physical Sciences Workshop, NeurIPS 2023, 2023 | | 2023 |
| ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation A Subramaniam, S Yu, Z Hu, WM Hannah, L Peng, J Lin, MA Bhouri, ... AGU24, 0 | | |
