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Luhuan Wu
Luhuan Wu
PhD student, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Practical and asymptotically exact conditional sampling in diffusion models
L Wu, B Trippe, C Naesseth, D Blei, JP Cunningham
Advances in Neural Information Processing Systems 36, 2023
712023
Variational nearest neighbor Gaussian process
L Wu, G Pleiss, JP Cunningham
International Conference on Machine Learning, 24114-24130, 2022
432022
Bias-free scalable Gaussian processes via randomized truncations
A Potapczynski, L Wu, D Biderman, G Pleiss, JP Cunningham
International Conference on Machine Learning, 8609-8619, 2021
222021
Variational objectives for Markovian dynamics with backward simulation
A Khalil Moretti, Z Wang, L Wu, I Drori, I Pe’er
ECAI 2020, 1371-1378, 2020
22*2020
Smoothing nonlinear variational objectives with sequential monte carlo
A Moretti, Z Wang, L Wu, I Pe'er
142019
Hierarchical inducing point gaussian process for inter-domian observations
L Wu, A Miller, L Anderson, G Pleiss, D Blei, J Cunningham
International Conference on Artificial Intelligence and Statistics, 2926-2934, 2021
122021
Posterior uncertainty quantification in neural networks using data augmentation
L Wu, SA Williamson
International Conference on Artificial Intelligence and Statistics, 3376-3384, 2024
92024
Denoising deep generative models
G Loaiza-Ganem, BL Ross, L Wu, JP Cunningham, JC Cresswell, ...
Proceedings on, 41-50, 2023
82023
Inverse articulated-body dynamics from video via variational sequential Monte Carlo
D Biderman, CA Naesseth, L Wu, T Abe, AC Mosberger, LJ Sibener, ...
NeurIPS 2020 Workshop 2, 2021
22021
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Articles 1–9