John Paisley
16
Papers
11
Total Citations
Papers (16)
Gaussian Process Neural Additive Models
AAAI 2024arXiv
11
citations
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
ICML 2024
0
citations
Removing Rain From Single Images via a Deep Detail Network
CVPR 2017
0
citations
Pan-Sharpening With a Hyper-Laplacian Penalty
ICCV 2015
0
citations
PanNet: A Deep Network Architecture for Pan-Sharpening
ICCV 2017
0
citations
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
ICCV 2019
0
citations
Deep Blind Hyperspectral Image Fusion
ICCV 2019
0
citations
Variational Inference via $\chi$ Upper Bound Minimization
NeurIPS 2017
0
citations
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
NeurIPS 2019
0
citations
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
NeurIPS 2019
0
citations
Landmarking Manifolds with Gaussian Processes
ICML 2015
0
citations
Markov Mixed Membership Models
ICML 2015
0
citations
Markov Latent Feature Models
ICML 2016
0
citations
CRVI: Convex Relaxation for Variational Inference
ICML 2018
0
citations
Deep Bayesian Nonparametric Tracking
ICML 2018
0
citations
Random Function Priors for Correlation Modeling
ICML 2019
0
citations