Jian Xu

According to our database, Jian Xu authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes.

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Fully Bayesian differential Gaussian processes through stochastic differential equations.

Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley

Knowl. Based Syst., 2025

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling.

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Bayesian Gaussian Process ODEs via Double Normalizing Flows.

Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling.

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng

CoRR, 2024

Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processes.

Jian Xu, Delu Zeng, John W. Paisley

CoRR, 2024

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling.

Jian Xu, Zhiqi Lin, Shigui Li, Min Chen, Junmei Yang, Delu Zeng, John W. Paisley

CoRR, 2024

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference.

Jian Xu, Delu Zeng, John W. Paisley

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

Sparse Variational Student-t Processes.

Jian Xu, Delu Zeng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning.

Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng

CoRR, 2023

2022

TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed.

Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022