179 citations · 605 across the 19 of their papers we have counts for
19 papers
Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality
Xiaoyin Pan, Christian R. Shelton, Rakshith Mahishi +1
We study generative modeling of spatial point processes (SPP), where both the number of points and their spatial configuration are governed by a joint distribution. While diffusion…
MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum
Ming-Feng Ho, Simeon Bird, Martin A. Fernandez +1
We introduce MF-Box, an extended version of MFEmulator, designed as a fast surrogate for power spectra, trained using N-body simulation suites from various box sizes and particle l…
Variational Inference for Neyman-Scott Processes
Chengkuan Hong, Christian R. Shelton
Neyman-Scott processes (NSPs) have been applied across a range of fields to model points or temporal events with a hierarchy of clusters. Markov chain Monte Carlo (MCMC) is typical…
Deep Neyman-Scott Processes
Chengkuan Hong, Christian R. Shelton
A Neyman-Scott process is a special case of a Cox process. The latent and observable stochastic processes are both Poisson processes. We consider a deep Neyman-Scott process in thi…
Convolutional Deep Exponential Families
Chengkuan Hong, Christian R. Shelton
We describe convolutional deep exponential families (CDEFs) in this paper. CDEFs are built based on deep exponential families, deep probabilistic models that capture the hierarchic…
Multi-Fidelity Emulation for the Matter Power Spectrum using Gaussian Processes
Ming-Feng Ho, Simeon Bird, Christian R. Shelton
We present methods for emulating the matter power spectrum by combining information from cosmological -body simulations at different resolutions. An emulator allows estimation o…