LSRM scales transformer context windows with native sparse attention and geometric routing to deliver high-fidelity feed-forward 3D reconstruction and inverse rendering that approaches dense optimization quality.
Advances in Neural Information Processing Systems (2017)
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GraphDiffMed integrates dual-scale differential attention with pharmacological graph priors to improve medication recommendation quality, ranking, and safety balance on MIMIC-III data.
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LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows
LSRM scales transformer context windows with native sparse attention and geometric routing to deliver high-fidelity feed-forward 3D reconstruction and inverse rendering that approaches dense optimization quality.
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GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation
GraphDiffMed integrates dual-scale differential attention with pharmacological graph priors to improve medication recommendation quality, ranking, and safety balance on MIMIC-III data.