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[Submitted on 1 Oct 2026] Title:Variational Streaming Flow: Probabilistic Forecasting in Physical Time View a PDF of the paper titled Variational Streaming Flow: Probabilistic Forecasting in Physical Time, by Hans Hao-Hsun Hsu and 4 other authors View PDF HTML (experimental) Abstract:Probabilistic forecasting is important for predicting complex dynamical systems because intrinsic randomness and incomplete observations can cause the same observed state to evolve into multiple plausible futures.
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[Submitted on 25 Feb 2025] Title:Structural Alignment Improves Graph Test-Time Adaptation View a PDF of the paper titled Structural Alignment Improves Graph Test-Time Adaptation, by Hans Hao-Hsun Hsu and 3 other authors View PDF HTML (experimental) Abstract:Graph-based learning has achieved remarkable success in domains ranging from recommendation to fraud detection and particle physics by effectively capturing underlying interaction patterns.
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