John Paisley

30 papers · 2011–2026 · 10 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which John Paisley?

3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Xinghao Ding, Delu Zeng, Yue Huang 14 papers · 2014–2026 · ICCV, UAI, AISTATS Hide ▲

Implicit Variational Rejection Sampling UAI 2026 Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025 Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation ICML 2025 Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference ICML 2024 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior AAAI 2023 Deep Blind Hyperspectral Image Fusion ICCV 2019 JPEG Artifacts Reduction via Deep Convolutional Sparse Coding ICCV 2019 A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI ECCV 2018 MEnet: A Metric Expression Network for Salient Object Segmentation IJCAI 2018 PanNet: A Deep Network Architecture for Pan-Sharpening ICCV 2017 Removing Rain From Single Images via a Deep Detail Network CVPR 2017 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014

with Aonan Zhang, San Gultekin 6 papers · 2015–2020 · ICML, UAI, AISTATS Show ▼

with David Blei, Chong Wang, David M. Blei 5 papers · 2011–2017 · AISTATS, NeurIPS, JMLR Show ▼

5 papers whose co-authors appear nowhere else under this name

Gaussian Process Neural Additive Models AAAI 2024 A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NeurIPS 2019 Accurate Uncertainty Estimation and Decomposition in Ensemble Learning NeurIPS 2019 CRVI: Convex Relaxation for Variational Inference ICML 2018 Landmarking Manifolds with Gaussian Processes ICML 2015

Venues · all papers under this name

ICML (8) AISTATS (6) ICCV (4) NeurIPS (3) UAI (3) AAAI (2) CVPR (1) ECCV (1) IJCAI (1) JMLR (1)