Yu Gong
Yu Gong
Verified email at sfu.ca - Homepage
Title
Cited by
Cited by
Year
Variational autoencoders with jointly optimized latent dependency structure
J He, Y Gong, J Marino, G Mori, A Lehrmann
International Conference on Learning Representations, 2018
52018
Variational selective autoencoder
Y Gong, H Hajimirsadeghi, J He, M Nawhal, T Durand, G Mori
Symposium on Advances in Approximate Bayesian Inference, 1-17, 2020
42020
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Y Gong, H Hajimirsadeghi, J He, T Durand, G Mori
International Conference on Artificial Intelligence and Statistics, 2377-2385, 2021
2021
System and method for machine learning architecture for partially-observed multimodal data
Y Gong, J He, T Durand, M Nawhal, CAO Yanshuai, M Gregory, ...
US Patent App. 16/882,074, 2020
2020
Learning from Partially-Observed Multimodal Data with Variational Autoencoders
Y Gong, H Hajimirsadeghi, J He, M Nawhal, T Durand, G Mori
2019
Variational Latent Dependency Learning
J He, Y Gong, J Marino, G Mori, A Lehrmann
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Articles 1–6