Direct fixed-weight solver for free-support Wasserstein medians relocates atoms using OT barycentric projections and inverse-distance weights, achieving monotone descent on smoothed objectives with fewer subproblems than nested Weiszfeld baselines.
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Functional generative AI use correlates with better academic performance and enhanced prefrontal-hippocampal brain metrics, whereas socio-emotional use correlates with poorer mental health and reduced superior temporal and amygdalar volumes.
Kernel density estimation improves radio source count estimation over binned methods, as shown in simulations and LOFAR data analysis, with a new AstroKDE package.
citing papers explorer
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Fast Computation of Free-Support Wasserstein Medians
Direct fixed-weight solver for free-support Wasserstein medians relocates atoms using OT barycentric projections and inverse-distance weights, achieving monotone descent on smoothed objectives with fewer subproblems than nested Weiszfeld baselines.
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Mapping generative AI use in the human brain: divergent neural, academic, and mental health profiles of functional versus socio emotional AI use
Functional generative AI use correlates with better academic performance and enhanced prefrontal-hippocampal brain metrics, whereas socio-emotional use correlates with poorer mental health and reduced superior temporal and amygdalar volumes.
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Improving Radio Source Count Estimation Using Kernel Density Estimation
Kernel density estimation improves radio source count estimation over binned methods, as shown in simulations and LOFAR data analysis, with a new AstroKDE package.