Semi-Implicit Variational Inference via Score Matching. - Longlin Yu; Cheng Zhang (ICLR, 2023)

Particle-based Variational Inference with Generalized Wasserstein Gradient Flow. - Ziheng Cheng; Shiyue Zhang 002; Longlin Yu; Cheng Zhang (NeurIPS, 2023)

Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration. - Longlin Yu; Tianyu Xie 001; Yu Zhu 004; Tong Yang; Xiangyu Zhang; Cheng Zhang (NeurIPS, 2023)

Reflected Flow Matching. - Tianyu Xie 001; Yu Zhu 004; Longlin Yu; Tong Yang; Ziheng Cheng; Shiyue Zhang 002; Xiangyu Zhang; Cheng Zhang (ICML, 2024)

Kernel Semi-Implicit Variational Inference. - Ziheng Cheng; Longlin Yu; Tianyu Xie 001; Shiyue Zhang 002; Cheng Zhang (ICML, 2024)

Functional Gradient Flows for Constrained Sampling. - Shiyue Zhang 002; Longlin Yu; Ziheng Cheng; Cheng Zhang (NeurIPS, 2024)

Diffusion-PINN Sampler. - Zhekun Shi; Longlin Yu; Tianyu Xie 001; Cheng Zhang (CoRR, 2024)

Continuous Semi-Implicit Models. - Longlin Yu; Jiajun Zha; Tong Yang; Tianyu Xie 001; Xiangyu Zhang; S.-H. Gary Chan; Cheng Zhang (CoRR, 2025)