#bayesian inference
33 papers · 1 filter
Human population dynamics as a Bayesian inverse transport problem
Chong Qi
The paper presents a Bayesian inverse transport method that embeds Bayesian neural networks into conservation-law equations to model and predict human population movements while pr…
Optimal photostimulation selection for iterative activity maps
Jacob J. Morra, Kaitlyn E. Fouke, Owen Traubert +1
The paper introduces OPhELIA, a Bayesian framework that selects informative optogenetic stimulation patterns to efficiently map neural connectivity with limited experimental trials…
Peak-Decomposition-Free Inverse Metrology of Hyperspectral Moiré Photoluminescence
Katsunori Wakabayashi
The paper introduces a peak‑decomposition‑free inverse framework that uses descriptor maps derived from hyperspectral photoluminescence data of moiré transition‑metal dichalcogenid…
Automated Outlier-Robust Bayesian Profile Fitting for Magnetically Confined Plasmas with Modified Tanh Profiles and Good-and-Bad Gaussian Mixture Likelihoods
Jaewook Kim, Jekil Lee, Laurent Jung +2
The paper presents an outlier‑robust Bayesian method for automatically fitting kinetic profiles in magnetically confined plasmas using a modified tanh parametrisation and a good‑an…
We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference
Thomas Hikaru Clark, Edward Gibson, Roger Levy
The paper proposes a Bayesian noisy‑channel model that uses a monolingual language model and a noise component to infer word mappings between related languages, explaining how spea…
Markov Chain Monte Carlo with Diffusion Paths
Han Chen, Sifan Liu, Jun Yang
The paper proposes a new MCMC method that interpolates between a target distribution and a Gaussian using diffusion paths, preserving mode weights and improving mixing, and introdu…