Neural point-forms are introduced as permutation-invariant neural layers that output learned form-comparison matrices for point clouds, with a claimed consistency proof under sampling and manifold assumptions and competitive results on synthetic and biological data.
Hanahan, Hallmarks of cancer: New dimensions, Cancer Discov 12 (1) (2022) 31–46
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A stochastic agent-based model integrates tumor and immune cell behaviors to simulate progression and evaluate single and combination cancer therapies.
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Neural Point-Forms
Neural point-forms are introduced as permutation-invariant neural layers that output learned form-comparison matrices for point clouds, with a claimed consistency proof under sampling and manifold assumptions and competitive results on synthetic and biological data.
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A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies
A stochastic agent-based model integrates tumor and immune cell behaviors to simulate progression and evaluate single and combination cancer therapies.