Canopies generalize vines and vineyards by tracking simplex pairs in filtered chain complexes instead of persistence diagram points, with proofs of homeomorphism and applications to multiplicity and monodromy.
McConnell Rooney, M
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
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2026 6verdicts
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Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
LEAPBench shows trajectory scoring changes best-model rankings on 53% of tasks, LLMs do not beat Bayesian optimization, and domain-aware prompting underperforms domain-agnostic on biology tasks aligned with published literature.
CellDX AI Autopilot lets users train pathology classifiers via AI agent skills on a large pre-extracted whole-slide image dataset with automated hyperparameter tuning that claims over 30x cost reduction.
NucEval is a unified evaluation framework for nuclear instance segmentation that modifies standard metrics to handle vague regions, normalize scores, manage overlaps, and account for border uncertainty.
Tutorial for PyPETANA framework that extracts time-resolved geometric observables directly from image sequences of evolving morphologies, demonstrated on tumor-like growth interfaces.
citing papers explorer
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Canopies: A Generalization of Vines and Vineyards for Parameterized Persistence
Canopies generalize vines and vineyards by tracking simplex pairs in filtered chain complexes instead of persistence diagram points, with proofs of homeomorphism and applications to multiplicity and monodromy.
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Human face perception reflects inverse-generative and naturalistic discriminative objectives
Human face perception aligns with neural networks trained on inverse-generative and naturalistic discriminative tasks, as these best predict human dissimilarity judgments on controversial and random face pairs.
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LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design
LEAPBench shows trajectory scoring changes best-model rankings on 53% of tasks, LLMs do not beat Bayesian optimization, and domain-aware prompting underperforms domain-agnostic on biology tasks aligned with published literature.
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CellDX AI Autopilot: Agent-Guided Training and Deployment of Pathology Classifiers
CellDX AI Autopilot lets users train pathology classifiers via AI agent skills on a large pre-extracted whole-slide image dataset with automated hyperparameter tuning that claims over 30x cost reduction.
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NucEval: A Robust Evaluation Framework for Nuclear Instance Segmentation
NucEval is a unified evaluation framework for nuclear instance segmentation that modifies standard metrics to handle vague regions, normalize scores, manage overlaps, and account for border uncertainty.
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A geometry-first tutorial for time-resolved morphological analysis with PyPETANA
Tutorial for PyPETANA framework that extracts time-resolved geometric observables directly from image sequences of evolving morphologies, demonstrated on tumor-like growth interfaces.