Hybrid sketching saves up to 97% space on dense graphs and 15% on sparse ones by sketching dense cores and storing sparse parts exactly, with new BalloonSketch reducing sketch sizes up to 8x.
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4 Pith papers cite this work, alongside 2,517 external citations. Polarity classification is still indexing.
4
Pith papers citing it
2,517
external citations · Crossref
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Improved topology-free upper bounds on loci required for bipartition cover under the multispecies coalescent, plus new asymptotics for absorption times in the short-branch regime.
Proves sharp Gaussian isoperimetric inequality for conjugate heat-kernel measures along Ricci flow via monotonicity formula, with consequences for concentration estimates, log-Sobolev inequalities, and related results.
New weighted cumulative extropy measures for extreme order statistics uniquely characterize distributions and yield characterization results for the generalized Pareto and power distributions.
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Hybrid Sketching Methods for Dynamic Connectivity on Sparse Graphs
Hybrid sketching saves up to 97% space on dense graphs and 15% on sparse ones by sketching dense cores and storing sparse parts exactly, with new BalloonSketch reducing sketch sizes up to 8x.
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An Improved Bipartition Cover Bound for the Multispecies Coalescent Model
Improved topology-free upper bounds on loci required for bipartition cover under the multispecies coalescent, plus new asymptotics for absorption times in the short-branch regime.
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Sharp Gaussian Isoperimetry along a Ricci Flow
Proves sharp Gaussian isoperimetric inequality for conjugate heat-kernel measures along Ricci flow via monotonicity formula, with consequences for concentration estimates, log-Sobolev inequalities, and related results.
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On general weighted cumulative residual (past) extropy of extreme order statistics
New weighted cumulative extropy measures for extreme order statistics uniquely characterize distributions and yield characterization results for the generalized Pareto and power distributions.