Paisley, John

23 publications

AISTATS 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley

ICML 2025 Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng

UAI 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

AAAI 2024 Gaussian Process Neural Additive Models Wei Zhang, Brian Barr, John Paisley

ICML 2024 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference Jian Xu, Delu Zeng, John Paisley

UAI 2020 Risk Bounds for Low Cost Bipartite Ranking San Gultekin, John Paisley

NeurIPS 2019 A State-Space Model for Inferring Effective Connectivity of Latent Neural Dynamics from Simultaneous EEG/fMRI Tao Tu, John Paisley, Stefan Haufe, Paul Sajda

NeurIPS 2019 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning Jeremiah Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull

ICML 2019 Random Function Priors for Correlation Modeling Aonan Zhang, John Paisley

ECCV 2018 A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John Paisley

ICML 2018 CRVI: Convex Relaxation for Variational Inference Ghazal Fazelnia, John Paisley

ICML 2018 Deep Bayesian Nonparametric Tracking Aonan Zhang, John Paisley

ICCV 2017 PanNet: A Deep Network Architecture for Pan-Sharpening Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John Paisley

CVPR 2017 Removing Rain from Single Images via a Deep Detail Network Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley

NeurIPS 2017 Variational Inference via $\chi$ Upper Bound Minimization Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, David Blei

ICML 2016 Markov Latent Feature Models Aonan Zhang, John Paisley

ICML 2015 Landmarking Manifolds with Gaussian Processes Dawen Liang, John Paisley

ICML 2015 Markov Mixed Membership Models Aonan Zhang, John Paisley

ICCV 2015 Pan-Sharpening with a Hyper-Laplacian Penalty Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John Paisley

JMLR 2013 Stochastic Variational Inference Matthew D. Hoffman, David M. Blei, Chong Wang, John Paisley

AISTATS 2012 Stick-Breaking Beta Processes and the Poisson Process John Paisley, David Blei, Michael Jordan

AISTATS 2011 Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang, John Paisley, David M. Blei

AISTATS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling John Paisley, Chong Wang, David Blei