Hugging Face Integration for Dynamical Diffusion

[NielsRogge]

Hi @GXZlegend 🤗

I'm Niels from the Hugging Face open-source team. I came across your accepted ICLR 2025 paper, "Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models," on arXiv and wanted to reach out. We're building a new feature on the Hugging Face Hub (hf.co/papers) that links research papers to their associated artifacts (models, datasets, demos, etc.). It significantly increases the visibility and discoverability of your work.

Since your paper focuses on improving diffusion models for learning temporal dynamics, it would be beneficial for the community to make any trained models or datasets you've used available on the Hugging Face Hub. This would allow researchers to easily access and utilize your work. We could help with uploading and tagging them appropriately.

Currently, your GitHub repository only mentions the code release. Could you please provide an update on when you anticipate releasing your trained models and/or datasets? If you are open to sharing them on Hugging Face, we'd be happy to assist you with the process. We provide guides for uploading models (https://huggingface.co/docs/hub/models-uploading) and datasets (https://huggingface.co/docs/datasets/loading).

Thanks for your time and consideration!

Kind regards,

Niels
ML Engineer @ HF 🤗