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stat.ML2020★ 3 cited
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
Zhijian Ou, Yunfu Song
Although with progress in introducing auxiliary amortized inference models, learning discrete latent variable models is still challenging. In this paper, we show that the annoying…
stat.ML2018★ 1 cited
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection
Yunfu Song, Zhijian Ou
Neural random fields (NRFs), referring to a class of generative models that use neural networks to implement potential functions in random fields (a.k.a. energy-based models), are…