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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Applies relational hyperevent models to tripartite hypergraphs for modeling scientific collaboration with actors, references, and keywords while controlling for inter-dependencies.
A framework generates training data from a numerical solver for FRMABPs, applies nonlinear feature transforms, and learns time-dependent policies via OCT-H to achieve up to 26 million times speed-up on test problems.
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.
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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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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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Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
A framework generates training data from a numerical solver for FRMABPs, applies nonlinear feature transforms, and learns time-dependent policies via OCT-H to achieve up to 26 million times speed-up on test problems.
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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.