Luhuan Wu

According to our database, Luhuan Wu authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Posterior Uncertainty Quantification in Neural Networks using Data Augmentation.

Luhuan Wu, Sinead Williamson

CoRR, 2024

2023

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models.

Luhuan Wu, Brian L. Trippe, Christian A. Naesseth, David M. Blei, John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Variational Nearest Neighbor Gaussian Processes.

Luhuan Wu, Geoff Pleiss, John P. Cunningham

CoRR, 2022

Variational nearest neighbor Gaussian process.

Luhuan Wu, Geoff Pleiss, John P. Cunningham

Proceedings of the International Conference on Machine Learning, 2022

Denoising Deep Generative Models.

Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

Hierarchical Inducing Point Gaussian Process for Inter-domain Observations.

Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David M. Blei, John P. Cunningham

CoRR, 2021

Bias-Free Scalable Gaussian Processes via Randomized Truncations.

Andres Potapczynski, Luhuan Wu, Dan Biderman, Geoff Pleiss, John P. Cunningham

Proceedings of the 38th International Conference on Machine Learning, 2021

Hierarchical Inducing Point Gaussian Process for Inter-domian Observations.

Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David M. Blei, John P. Cunningham

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Variational Objectives for Markovian Dynamics with Backward Simulation.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Particle Smoothing Variational Objectives.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er

CoRR, 2019

Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo.

Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er

Proceedings of the Deep Generative Models for Highly Structured Data, 2019