Search Results for author: Longlin Yu

Found 4 papers, 3 papers with code

Kernel Semi-Implicit Variational Inference

no code implementations29 May 2024 Ziheng Cheng, Longlin Yu, Tianyu Xie, Shiyue Zhang, Cheng Zhang

This way, the upper-level objective becomes the kernel Stein discrepancy (KSD), which is readily computable for stochastic gradient descent due to the hierarchical structure of semi-implicit variational distributions.

Bayesian Inference Variational Inference

Reflected Flow Matching

1 code implementation26 May 2024 Tianyu Xie, Yu Zhu, Longlin Yu, Tong Yang, Ziheng Cheng, Shiyue Zhang, Xiangyu Zhang, Cheng Zhang

We propose reflected flow matching (RFM) to train the velocity model in reflected CNFs by matching the conditional velocity fields in a simulation-free manner, similar to the vanilla FM.

Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration

1 code implementation NeurIPS 2023 Longlin Yu, Tianyu Xie, Yu Zhu, Tong Yang, Xiangyu Zhang, Cheng Zhang

Semi-implicit variational inference (SIVI) has been introduced to expand the analytical variational families by defining expressive semi-implicit distributions in a hierarchical manner.

Bayesian Inference Variational Inference

Semi-Implicit Variational Inference via Score Matching

1 code implementation19 Aug 2023 Longlin Yu, Cheng Zhang

Semi-implicit variational inference (SIVI) greatly enriches the expressiveness of variational families by considering implicit variational distributions defined in a hierarchical manner.

Bayesian Inference Denoising +1

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