Longlin Yu

According to our database, Longlin Yu authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Kernel Approach for Semi-implicit Variational Inference.

Longlin Yu, Ziheng Cheng, Shiyue Zhang, Cheng Zhang

CoRR, January, 2026

2025

Continuous Semi-Implicit Models.

Longlin Yu, Jiajun Zha, Tong Yang, Tianyu Xie, Xiangyu Zhang, S.-H. Gary Chan, Cheng Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Diffusion-PINN Sampler.

Zhekun Shi, Longlin Yu, Tianyu Xie, Cheng Zhang

CoRR, 2024

Functional Gradient Flows for Constrained Sampling.

Shiyue Zhang, Longlin Yu, Ziheng Cheng, Cheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Kernel Semi-Implicit Variational Inference.

Ziheng Cheng, Longlin Yu, Tianyu Xie, Shiyue Zhang, Cheng Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reflected Flow Matching.

Tianyu Xie, Yu Zhu, Longlin Yu, Tong Yang, Ziheng Cheng, Shiyue Zhang, Xiangyu Zhang, Cheng Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Longlin Yu, Tianyu Xie, Yu Zhu, Tong Yang, Xiangyu Zhang, Cheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Particle-based Variational Inference with Generalized Wasserstein Gradient Flow.

Ziheng Cheng, Shiyue Zhang, Longlin Yu, Cheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Implicit Variational Inference via Score Matching.

Longlin Yu, Cheng Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023