Jinlin Lai

According to our database, Jinlin Lai authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Quasi-random Multi-Sample Inference for Large Language Models.

Aditya Parashar, Aditya Vikram Singh, Avinash Amballa, Jinlin Lai, Benjamin Rozonoyer

CoRR, 2024

Predictive variational inference: Learn the predictively optimal posterior distribution.

Jinlin Lai, Yuling Yao

CoRR, 2024

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models.

Jinlin Lai, Justin Domke, Daniel R. Sheldon

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Outdoor Scene Relighting with Diffusion Models.

Jinlin Lai, Anustup Choudhury, Guan-Ming Su

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Efficient Semi-Supervised Segmentation of Medical Images with RESA-Enhanced U-Net.

Saijun Nie, Tianyu Xiao, Jinlin Lai, Yuandong Li, Siye Wang

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

Automatically marginalized MCMC in probabilistic programming.

Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon

Proceedings of the International Conference on Machine Learning, 2023

2022

Variational Marginal Particle Filters.

Jinlin Lai, Justin Domke, Daniel Sheldon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies.

Jinlin Lai, Lixin Zou, Jiaxing Song

CoRR, 2020

Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs.

Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder.

Haowen Xu, Wenxiao Chen, Jinlin Lai, Zhihan Li, Youjian Zhao, Dan Pei

CoRR, 2019