ATune combines Gaussian theoretical analysis with burn-in simulation data to select system-specific splitting integrators and hyperparameter credible intervals for improved HMC stability and performance.
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Numerical experiments on McKean-Vlasov equations with attractive kernels reveal alternating aggregation-diffusion regimes in transient clustering, with density peak height only partially coupled to energetic mechanisms.
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Adaptive tuning of Hamiltonian Monte Carlo methods
ATune combines Gaussian theoretical analysis with burn-in simulation data to select system-specific splitting integrators and hyperparameter credible intervals for improved HMC stability and performance.