IEEE

Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes

Abstract: Deep Gaussian process (DGP) models offer a powerful nonparametric approach for Bayesian inference, but exact inference is typically intractable, motivating the use of various approximations.
GitHub

Inference MAISI unexpected keys error when loading diffusion model weights.

Inference MAISI unexpected keys error when loading diffusion model weights. #2042 New issue Open cugwu ...
IEEE

A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection

Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...
GitHub

is there a guide/tutorial to run inference from the pretrained checkpoint?

I couldn't really see how to run inference from the pretrained checkpoint on one GPU with a folder of CIF files. If the cost to run inference and predict adsorption is more expensive than running GCMC ...