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Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
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book
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January 2021 |
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Full-Glow: Fully Conditional Glow for More Realistic Image Generation
|
book
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January 2021 |
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Solving inverse problems using conditional invertible neural networks
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journal
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May 2021 |
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Cryo-electron tomography
|
journal
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January 2017 |
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LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction
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journal
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April 2021 |
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Deep learning for undersampled MRI reconstruction
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journal
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June 2018 |
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Gradient-based learning applied to document recognition
|
journal
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January 1998 |
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A Style-Based Generator Architecture for Generative Adversarial Networks
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conference
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June 2019 |
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C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
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conference
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June 2020 |
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Analyzing and Improving the Image Quality of StyleGAN
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conference
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June 2020 |
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Deep Learning Face Attributes in the Wild
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conference
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December 2015 |
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Cryo-Electron Microscopy Image Denoising Using Multi-Frequency Vector Diffusion Maps
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conference
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September 2021 |
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Deep residual learning for compressed sensing MRI
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conference
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April 2017 |
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Learning Multiscale Convolutional Dictionaries for Image Reconstruction
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journal
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January 2022 |
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Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors
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journal
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January 2022 |
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Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems
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journal
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April 2019 |
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Deep Convolutional Neural Network for Inverse Problems in Imaging
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journal
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September 2017 |
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Representation Learning: A Review and New Perspectives
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journal
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August 2013 |
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Should Penalized Least Squares Regression be Interpreted as Maximum A Posteriori Estimation?
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journal
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May 2011 |
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A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems
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journal
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January 2018 |
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Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization
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journal
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January 2019 |
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Keeping the neural networks simple by minimizing the description length of the weights
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conference
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January 1993 |
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Reliable amortized variational inference with physics-based latent distribution correction
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journal
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February 2023 |
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Superresolution in total internal reflection tomography
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journal
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September 2005 |
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Structured Output Learning with Conditional Generative Flows
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journal
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April 2020 |
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Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
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journal
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May 2021 |
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Cone beam Computed Tomography: Basics and Applications in Dentistry
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journal
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November 2017 |
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VoxCeleb: A Large-Scale Speaker Identification Dataset
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conference
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August 2017 |
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A Global Uniqueness Theorem for an Inverse Boundary Value Problem
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journal
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January 1987 |
|
Global Uniqueness for a Two-Dimensional Inverse Boundary Value Problem
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journal
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January 1996 |
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Manifold Rewiring for Unlabeled Imaging
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conference
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November 2022 |
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Solving inverse wave scattering with deep learning
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journal
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January 2022 |