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John Paisley

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Papers (40)

  1. AQKA: Active Quantum Kernel Acquisition Under a Shot Budget cs.LG · 2026 · author #4
  2. Stochastic Schr\"odinger Diffusion Models for Pure-State Ensemble Generation stat.ML · 2026 · author #5
  3. Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the Winner cs.LG · 2026 · author #6
  4. One-Step Score-Based Density Ratio Estimation stat.ML · 2026 · author #3
  5. A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation cs.LG · 2026 · author #6
  6. Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement cs.CV · 2025 · author #5
  7. Neural Bridge Processes cs.LG · 2025 · author #4
  8. Random Function Priors for Correlation Modeling cs.LG · 2019 · author #2
  9. Adaptive Ensemble Learning of Spatiotemporal Processes with Calibrated Predictive Uncertainty: A Bayesian Nonparametric Approach stat.ME · 2019 · author #2
  10. Global Explanations of Neural Networks: Mapping the Landscape of Predictions cs.LG · 2019 · author #4
  11. Mixed Membership Recurrent Neural Networks cs.LG · 2018 · author #5
  12. Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process cs.LG · 2018 · author #2
  13. A Deep Tree-Structured Fusion Model for Single Image Deraining cs.CV · 2018 · author #6
  14. Towards Explainable Deep Learning for Credit Lending: A Case Study cs.LG · 2018 · author #4
  15. An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection cs.CV · 2018 · author #6
  16. Fully Supervised Speaker Diarization eess.AS · 2018 · author #4
  17. MBA: Mini-Batch AUC Optimization cs.LG · 2018 · author #4
  18. Lightweight Pyramid Networks for Image Deraining cs.CV · 2018 · author #5
  19. Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network cs.CV · 2018 · author #5
  20. A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI cs.CV · 2018 · author #6
  21. A Divide-and-Conquer Approach to Compressed Sensing MRI cs.CV · 2018 · author #6
  22. A Deep Error Correction Network for Compressed Sensing MRI cs.CV · 2018 · author #5
  23. Online Forecasting Matrix Factorization cs.LG · 2017 · author #2
  24. Location Dependent Dirichlet Processes stat.ML · 2017 · author #2
  25. Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network cs.CV · 2017 · author #6
  26. Nonlinear Kalman Filtering with Divergence Minimization math.OC · 2017 · author #2
  27. TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency cs.CL · 2016 · author #4
  28. Variational Inference via $\chi$-Upper Bound Minimization stat.ML · 2016 · author #4
  29. Clearing the Skies: A deep network architecture for single-image rain removal cs.CV · 2016 · author #5
  30. A constructive definition of the beta process math.ST · 2016 · author #1
  31. Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts stat.ML · 2015 · author #2
  32. Stochastic Annealing for Variational Inference stat.ML · 2015 · author #3
  33. A Collaborative Kalman Filter for Time-Evolving Dyadic Processes stat.ML · 2015 · author #2
  34. Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI cs.CV · 2013 · author #2
  35. A Nested HDP for Hierarchical Topic Models stat.ML · 2013 · author #1
  36. Nested Hierarchical Dirichlet Processes stat.ML · 2012 · author #1
  37. Stochastic Variational Inference stat.ML · 2012 · author #4
  38. Combinatorial clustering and the beta negative binomial process stat.ME · 2011 · author #3
  39. The Stick-Breaking Construction of the Beta Process as a Poisson Process math.ST · 2011 · author #1
  40. The Discrete Infinite Logistic Normal Distribution stat.ML · 2011 · author #1

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