1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng, Alexandre H. Thiery, Harold Soh
Out-of-distribution (OOD) detection is a critical task in machine learning that seeks to identify abnormal samples. Traditionally, unsupervised methods utilize a deep generative mo…
stat.CO2024★ 1 cited
Doubly Adaptive Importance Sampling
Willem van den Boom, Andrea Cremaschi, Alexandre H. Thiery
We propose an adaptive importance sampling scheme for Gaussian approximations of intractable posteriors. Optimization-based approximations like variational inference can be too ina…
cs.LG2023★ 1 cited
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
Zhidi Lin, Yiyong Sun, Feng Yin +1
The Gaussian process state-space models (GPSSMs) represent a versatile class of data-driven nonlinear dynamical system models. However, the presence of numerous latent variables in…