24 citations · 52 across the 9 of their papers we have counts for
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cs.LG2020★ 24 cited
Weakly Supervised Disentangled Generative Causal Representation Learning
Xinwei Shen, Furui Liu, Hanze Dong +3
This paper proposes a Disentangled gEnerative cAusal Representation (DEAR) learning method under appropriate supervised information. Unlike existing disentanglement methods that en…
cs.LG2020★ 17 cited
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder
Mengyue Yang, Furui Liu, Zhitang Chen +3
Learning disentanglement aims at finding a low dimensional representation which consists of multiple explanatory and generative factors of the observational data. The framework of…
cs.LG2020★ 5 cited
Bidirectional Generative Modeling Using Adversarial Gradient Estimation
Xinwei Shen, Tong Zhang, Kani Chen
This paper considers the general -divergence formulation of bidirectional generative modeling, which includes VAE and BiGAN as special cases. We present a new optimization metho…