---
datasets:
- scailab/hyper-navier-stokes-64-1000
language:
- en
library_name: pytorch
pipeline_tag: time-series-forecasting
---

# HyPER Model Checkpoints

We provide pytorch model checkpoints for the ICML 2025 paper **Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout** ([https://huggingface.co/papers/2503.10048](https://huggingface.co/papers/2503.10048)).

Please see https://github.com/scailab/HyPER for our code and instructions to train and evaluate these models.