Luhuan Wu
5 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Deep Learning
(2)
Models
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
gaussian process
(3)
conjugate gradient
(2)
bayesian inference
(1)
hyperparameter learning
(1)
uncertainty quantification
(1)
data augmentation
(1)
conditional generation
(1)
nearest neighbor
(1)
sequential monte carlo
(1)
sparse approximation
(1)
precision matrix
(1)
protein design
(1)
bayesian posterior
(1)
diffusion model
(1)
bias-variance tradeoff
(1)
molecular design
(1)
mixup augmentation
(1)
predictive distribution
(1)
random fourier feature
(1)
inducing point
(1)
Papers
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
NeurIPS 2023
Variational nearest neighbor Gaussian process
ICML 2022
Bias-Free Scalable Gaussian Processes via Randomized Truncations
ICML 2021
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
AISTATS 2021