Wu, Luhuan

10 publications

ICLRW 2025 Bayesian Invariance Modeling of Multi-Environment Data Luhuan Wu, Mingzhang Yin, Yixin Wang, John Patrick Cunningham, David Blei

NeurIPS 2025 Reverse Diffusion Sequential Monte Carlo Samplers Luhuan Wu, Yi Han, Christian A. Naesseth, John Patrick Cunningham

AISTATS 2024 Posterior Uncertainty Quantification in Neural Networks Using Data Augmentation Luhuan Wu, Sinead A Williamson

NeurIPS 2023 Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Luhuan Wu, Brian Trippe, Christian Naesseth, David M. Blei, John P. Cunningham

ICMLW 2023 Practical and Asymptotically Exact Conditional Sampling in Diffusion Models Brian L. Trippe, Luhuan Wu, Christian A. Naesseth, David Blei, John Patrick Cunningham

NeurIPSW 2022 Denoising Deep Generative Models Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John Patrick Cunningham, Jesse C Cresswell, Anthony L. Caterini

ICML 2022 Variational Nearest Neighbor Gaussian Process Luhuan Wu, Geoff Pleiss, John P Cunningham

AISTATS 2021 Hierarchical Inducing Point Gaussian Process for Inter-Domian Observations Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David Blei, John Cunningham

ICML 2021 Bias-Free Scalable Gaussian Processes via Randomized Truncations Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P Cunningham

ICLRW 2019 Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo Antonio Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er