Derives Õ(d β² A² / ε⁴) oracle complexity for AIS estimating normalizing constant Z to relative error ε and introduces reverse diffusion sampler for geometric paths with large action.
Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme
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Reactive graphs enable efficient MCMC inference in probabilistic programming languages by automatically tracking and selectively recomputing data dependencies during sampling.
New H0 = 67.0 +9.3/-7.8 km/s/Mpc from joint lens-model fit to time delays of SN Requiem and SN Encore in MACS J0138.0-2155.
Football fever in spectators follows a V-shaped time course captured as a latent process from heart rate and stress data via time-dependent structural equation modeling.
citing papers explorer
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Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
Derives Õ(d β² A² / ε⁴) oracle complexity for AIS estimating normalizing constant Z to relative error ε and introduces reverse diffusion sampler for geometric paths with large action.
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Reactive Graphs for Efficient Markov Chain Monte Carlo Inference in Probabilistic Programming Languages
Reactive graphs enable efficient MCMC inference in probabilistic programming languages by automatically tracking and selectively recomputing data dependencies during sampling.
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A new $H_0$ measurement with SNe Requiem and Encore using $\texttt{Gravity.jl}$
New H0 = 67.0 +9.3/-7.8 km/s/Mpc from joint lens-model fit to time delays of SN Requiem and SN Encore in MACS J0138.0-2155.
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Time-dependent structural equation modeling of fans' football fever using activity tracking data during the 2025 DFB Cup final
Football fever in spectators follows a V-shaped time course captured as a latent process from heart rate and stress data via time-dependent structural equation modeling.