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John Paisley

29 papers · 2011–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (14) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (40) πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (10) 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (102) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter

Conferences

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

Top co-authors

Xinghao Ding (10) Delu Zeng (8) Yue Huang (7) Aonan Zhang (5) Jian Xu (3) Junmei Yang (3) Chong Wang (3) Xueyang Fu (3) David Blei (3) Shian Du (2)

Research topics

Bayesian & Probabilistic (1)

Keywords

variational inference (8) bayesian nonparametric (7) convolutional neural network (3) hierarchical dirichlet process (3) image restoration (3) topic model (2) latent variable model (2) deep neural network (2) gaussian process (2) markov chain (2) image denoising (2) image fusion (2) markov chain monte carlo (2) stochastic variational inference (2) stochastic optimization (2) sparse representation (2) sparse coding (2) topic modeling (2) posterior distribution (2) mixed membership model (2)

Papers

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling UAI 2025
Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025
Dequantified Diffusion-SchrΓΆdinger Bridge for Density Ratio Estimation ICML 2025
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference ICML 2024
Gaussian Process Neural Additive Models AAAI 2024
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior AAAI 2023
Risk Bounds for Low Cost Bipartite Ranking UAI 2020
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding ICCV 2019
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning NIPS 2019
Random Function Priors for Correlation Modeling ICML 2019
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NIPS 2019
Deep Blind Hyperspectral Image Fusion ICCV 2019
MEnet: A Metric Expression Network for Salient Object Segmentation IJCAI 2018
CRVI: Convex Relaxation for Variational Inference ICML 2018
Deep Bayesian Nonparametric Tracking ICML 2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI ECCV 2018
PanNet: A Deep Network Architecture for Pan-Sharpening ICCV 2017
Removing Rain From Single Images via a Deep Detail Network CVPR 2017
Variational Inference via $\chi$ Upper Bound Minimization NIPS 2017
Markov Latent Feature Models ICML 2016
Stochastic Variational Inference for the HDP-HMM AISTATS 2016
Markov Mixed Membership Models ICML 2015
Landmarking Manifolds with Gaussian Processes ICML 2015
Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015
Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014
Stochastic Variational Inference JMLR 2013
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011