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John Paisley

5 papers at tracked venues · 3 at CORE A* · active 2024–2025

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Venues

ICML ×2AAAI ×1AISTATS ×1UAI ×1

Frequent coauthors

Delu Zeng
×4
Jian Xu
×3
Junmei Yang
×3
Shian Du
×2
Xinghao Ding
×1
Wei Chen
×1
Shigui Li
×1
Jiacheng Li
×1
Qianli Ma
×1
Wei Zhang
×1
Brian Barr
×1

Papers

  1. Bayesian Gaussian Process ODEs via Double Normalizing Flows
    AISTATS 2025 ·
    Jian Xu
    ,
    Shian Du
    ,
    Junmei Yang
    ,
    Xinghao Ding
    ,
    Delu Zeng
    , John Paisley
  2. Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
    ICML 2025 ·
    Wei Chen
    ,
    Shigui Li
    ,
    Jiacheng Li
    ,
    Junmei Yang
    , John Paisley,
    Delu Zeng
  3. Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
    UAI 2025 ·
    Jian Xu
    ,
    Shian Du
    ,
    Junmei Yang
    ,
    Qianli Ma
    ,
    Delu Zeng
    , John Paisley
  4. Gaussian Process Neural Additive Models
    AAAI 2024 ·
    Wei Zhang
    ,
    Brian Barr
    , John Paisley
  5. Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
    ICML 2024 ·
    Jian Xu
    ,
    Delu Zeng
    , John W. Paisley