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cs.CV2025
Harnessing Hypergraphs in Geometric Deep Learning for 3D RNA Inverse Folding
Guang Yang, Lei Fan
The RNA inverse folding problem, a key challenge in RNA design, involves identifying nucleotide sequences that can fold into desired secondary structures, which are critical for en…
cs.CV2025
Flexible Concept Bottleneck Model
Xingbo Du, Qiantong Dou, Lei Fan +1
Concept bottleneck models (CBMs) improve neural network interpretability by introducing an intermediate layer that maps human-understandable concepts to predictions. Recent work ha…
cs.CV2025
Static and Plugged: Make Embodied Evaluation Simple
Jiahao Xiao, Jianbo Zhang, BoWen Yan +9
Embodied intelligence is advancing rapidly, driving the need for efficient evaluation. Current benchmarks typically rely on interactive simulated environments or real-world setups,…