57%Worth a look?Worth a lookVote to see the scoreNeurIPS 2026UCLABlockmcgillDynamic graphsGraph Anomaly Detection as Dynamical Transport: Training-Free Scoring via Empirical BayesFred Xu, Thomas Markovich, florence regol, Yizhou SunAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet1/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 1 of 20 reviewers recommend itlenient 1/5medium 0/10strict 0/5
86%Must read?Must readVote to see the scoreNeurIPS 2026UCLABlockImperial College LondonFlow matchingImproving Function Space Flow Matching with Kernel Optimal TransportkFFM 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 SunAtlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet14/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 14 of 20 reviewers recommend itlenient 3/5medium 9/10strict 2/5
88%Must read?Must readVote to see the scoreNeurIPS 2026UCLABlockmcgillGraph neural networksA Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic ExpansionDoubly-spectral stochastic GNN expansions yield unified uncertainty representations improving calibration, OOD detection, and distribution-shift robustness.Fred Xu, Thomas Markovich, florence regol, Yizhou SunAtlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026– ReadersNo votes yet15/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 15 of 20 reviewers recommend itlenient 4/5medium 9/10strict 2/5