most citedForm-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks

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cs.LG2026

Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures

Jing Qin, Muhao Chen

Tensegrity form-finding and physical property prediction are fundamental problems in structural mechanics, which aim to determine equilibrium configurations and internal force dist…

cs.LG2026

Codec-Gauge: Learning Compression-Friendly Gauges for Transformer KV Caches

Yitao Jiang, Yaoqing Yang, Luyang Zhao +2

Long-context Transformer inference increasingly relies on KV-cache compression or quantization. Prior rotation and transform-coding results suggest that the channel basis of each k…