DISTAL: Distillation and self-supervised pretraining for structure-agnostic materials property prediction
Read the original at arxiv.org→arXiv:2609.00059v1 Announce Type: new Abstract: Materials property prediction remains difficult in low-data settings, where many target properties are supported by only a limited number of labeled samples. Models...
Original headline: "DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction"
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- Sep 2, 04:00 UTC arXiv cs.LG lead source DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction