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20172023
most citedDensity of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

94 citations · 226 across the 12 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.GT2023

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation

Hao Cheng, Shufeng Kong, Yanchen Deng +4

Core-selecting combinatorial auctions (CAs) restrict the auction result in the core such that no coalitions could improve their utilities by engaging in collusion. The minimum-reve…

cs.LG2023★ 2 cited

Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction

Junwen Bai, Yuanqi Du, Yingheng Wang +3

Modern machine learning techniques have been extensively applied to materials science, especially for property prediction tasks. A majority of these methods address scalar property…