Extends structural identifiability analysis to functional components of differential equation models and characterizes conditions for unique recovery using differential algebra techniques.
2024 Bayesian polynomial neural networks and polynomial neural ordinary differential equations.PLOS Computational Biology20, e1012414
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Derives exact propagator via generating functions for age-dependent switching particles and reports marginal CLT breakdown with Var(x_T) scaling as T²/log T at a=1.
TxBench-PP benchmark shows leading AI agents achieve at most 59% success on tasks requiring recovery of preclinical pharmacology conclusions from assay data.
Intrinsic dimension of quantum trajectories serves as an unsupervised probe sensitive to chaos, integrability, and ergodicity breaking in dissipative quantum systems.
Neuroevolution on a 2D three-bead swimmer produces five gaits, three for directed motion, all realizable with neural networks of fewer than ten nodes and weights.
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.
A design blueprint for OpenJ, an open-source digital human modeling and ergonomic assessment framework integrated with CAD environments to address the limitations of expensive proprietary tools.
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Emergent swimming strategies of a smart three-bead swimmer
Neuroevolution on a 2D three-bead swimmer produces five gaits, three for directed motion, all realizable with neural networks of fewer than ten nodes and weights.