DIPHINE is the first diffusion-based neural estimator for the 16 ΦID atoms in continuous non-Gaussian dynamical systems, obtained by joint MI estimation followed by Möbius inversion.
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cs.LG 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
InfoAtlas is a pretrained neural model for zero-shot mutual information estimation that matches state-of-the-art accuracy with 100x speedup and handles varying dimensions via a single model.
ADC-GNN improves few-shot graph fraud detection by combining diffusion-guided feature augmentation, contrastive learning, and multi-hop spectral attention, showing gains on public benchmarks under 1% labeled data.
citing papers explorer
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DIPHINE: Diffusion-based $\Phi$-ID Neural Estimator
DIPHINE is the first diffusion-based neural estimator for the 16 ΦID atoms in continuous non-Gaussian dynamical systems, obtained by joint MI estimation followed by Möbius inversion.
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InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
InfoAtlas is a pretrained neural model for zero-shot mutual information estimation that matches state-of-the-art accuracy with 100x speedup and handles varying dimensions via a single model.
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Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection
ADC-GNN improves few-shot graph fraud detection by combining diffusion-guided feature augmentation, contrastive learning, and multi-hop spectral attention, showing gains on public benchmarks under 1% labeled data.