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arXiv Machine Learning By Liang Shuang, Haocheng Wang, Jiayi Song, Shuquan Ye, Ben Fei

ED-DiT: Physics-Guided Diffusion Pretraining for Transferable Molecular Representations from Electron Density

Read the original on arXiv Machine Learning →

arXiv:2608. 03260v1 Announce Type: new Abstract: Pretraining has shown strong potential for learning transferable representations, yet it remains underexplored for electron-density-based molecular learning.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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