Feedback integrators achieve non-asymptotic positive invariance for one-step methods and explicit scaled-gain selection under Euler discretization to prevent drift off manifolds and away from first-integral values.
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6 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
DALS reaches 98% accuracy on synthetic data and competitive fine-tuning results across five datasets, while exposing that some prior strategies like STLR fail catastrophically on from-scratch tasks.
DLW learns a neural network weight function via bilevel optimization to improve variational denoising models on heterogeneous complex noise types with claimed transferability.
Applies relational hyperevent models to tripartite hypergraphs for modeling scientific collaboration with actors, references, and keywords while controlling for inter-dependencies.
Proposal to produce XFEL-comparable bright coherent attosecond X-ray pulses via reflection from beam-driven relativistic plasma mirrors using millijoule lasers.
Proposes a quantitative transactional distributive fairness framework to enable systematic design of equitable decision-making systems in cybernetic societies.
citing papers explorer
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Feedback Integrators: Non-Asymptotic Invariance for One-Step Methods and Gain Selection under Euler Discretization
Feedback integrators achieve non-asymptotic positive invariance for one-step methods and explicit scaled-gain selection under Euler discretization to prevent drift off manifolds and away from first-integral values.
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Learning Rate Engineering: From Coarse Single Parameter to Layered Evolution
DALS reaches 98% accuracy on synthetic data and competitive fine-tuning results across five datasets, while exposing that some prior strategies like STLR fail catastrophically on from-scratch tasks.
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A Data-driven Loss Weighting Scheme across Heterogeneous Tasks for Image Denoising
DLW learns a neural network weight function via bilevel optimization to improve variational denoising models on heterogeneous complex noise types with claimed transferability.
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Modeling Tripartite Hyperevents in Scientific Collaboration Networks
Applies relational hyperevent models to tripartite hypergraphs for modeling scientific collaboration with actors, references, and keywords while controlling for inter-dependencies.
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Bright coherent attosecond X-ray pulses from beam-driven relativistic mirrors
Proposal to produce XFEL-comparable bright coherent attosecond X-ray pulses via reflection from beam-driven relativistic plasma mirrors using millijoule lasers.
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Quantitative Fairness -- A Framework For The Design Of Equitable Cybernetic Societies
Proposes a quantitative transactional distributive fairness framework to enable systematic design of equitable decision-making systems in cybernetic societies.