Log Gaussian Cox Processes
PulseAugur coverage of Log Gaussian Cox Processes — every cluster mentioning Log Gaussian Cox Processes across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New neural network framework streamlines Bayesian inference for point patterns
Researchers have developed a novel amortized variational framework utilizing neural networks to infer latent point process intensities from replicated point patterns. This method learns a reusable inference rule that ma…
-
New ISBO framework offers scalable Bayesian Optimization for spatio-temporal data
Researchers have developed ISBO, a novel Bayesian Optimization framework designed for scalable spatio-temporal data analysis. This approach models log-intensity using Log-Gaussian Cox Processes and employs the INLA-SPDE…
-
AlphaEarth model enhances spatio-temporal forecasting with contextual data
Researchers have developed AlphaEarth, a new model designed to improve spatio-temporal forecasting for event data, particularly when local historical information is sparse. By integrating AlphaEarth embeddings as spatia…