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Spacing Assumption
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Classroom Contents
Bayesian Inference with Plug-and-Play Priors - Imaging and Inverse Problems Seminar
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- 1 Introduction
- 2 Presentation
- 3 Variational Approach
- 4 Infinite Dimensions
- 5 Unknown Models
- 6 Basin Framework
- 7 Estimators
- 8 Basin computation
- 9 Training data
- 10 Denoisers
- 11 Oracle Models
- 12 Spacing Assumption
- 13 Oracle Denoiser
- 14 Gradient of Prior
- 15 Gradient Algorithms
- 16 Denoiser
- 17 Algorithms
- 18 Gradient Descent
- 19 Numerical Illustrations
- 20 Histogram
- 21 Perspective
- 22 Conclusion
- 23 Questions
- 24 Noise
- 25 Signal Dependent Noise
- 26 Yoshida Regularization
- 27 Quantum Enhanced Imaging
- 28 Priors
- 29 Computing Times
