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cs.CV2026
Selective Prior Synchronization via SYNC Loss
Ishan Mishra, Jiajie Li, Deepak Mishra +1
Prediction under uncertainty is a critical requirement for the deep neural network to succeed responsibly. This paper focuses on selective prediction, which allows DNNs to make inf…
cond-mat.mtrl-sci2026
A New Workflow for Materials Discovery Bridging the Gap Between Experimental Databases and Graph Neural Networks
Brandon Schoener, Yuting Hu, Pasit Wanlapha +6
Incorporating Machine Learning (ML) into material property prediction has become a crucial step in accelerating materials discovery. A key challenge is the severe lack of training…