TDA on vorticity magnitude and length-scale fields in helically rotating turbulence produces Wasserstein-distance heatmaps that flag spatiotemporal signatures of strong turbulent fluctuations more sensitively than conventional statistics.
Topological Analysis of Ensembles of Hydrodynamic Tur- bulent Flows: An Experimental Study
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RCL adds similarity-based weak positive samples to supervised contrastive learning in sequential recommendation and reports an average 4.88% improvement over state-of-the-art methods across six datasets.
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Spatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
TDA on vorticity magnitude and length-scale fields in helically rotating turbulence produces Wasserstein-distance heatmaps that flag spatiotemporal signatures of strong turbulent fluctuations more sensitively than conventional statistics.
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Relative Contrastive Learning for Sequential Recommendation with Similarity-based Positive Pair Selection
RCL adds similarity-based weak positive samples to supervised contrastive learning in sequential recommendation and reports an average 4.88% improvement over state-of-the-art methods across six datasets.