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Graph Anomaly Detection as Dynamical Transport: Training-Free Scoring via Empirical Bayes

Fred Xu, Thomas Markovich, florence regol, Yizhou Sun

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
86%Must read
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Improving Function Space Flow Matching with Kernel Optimal Transport

kFFM replaces arbitrary pairing in Functional Flow Matching with kernel optimal transport to improve infinite-dimensional generative modeling and outperforms baselines on time-series and PDE benchmarks.

Fred Xu, Thomas Markovich, Barbora Barancikova, Yizhou Sun

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 2/5
88%Must read
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A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion

Doubly-spectral stochastic GNN expansions yield unified uncertainty representations improving calibration, OOD detection, and distribution-shift robustness.

Fred Xu, Thomas Markovich, florence regol, Yizhou Sun

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5