Chen Zhang
Chen Zhang
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iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression
S Zhang, C Zhang, N Kang, L Zhenguo
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Variational Gaussian approximation for Poisson data
SR Arridge, K Ito, B Jin, C Zhang
Inverse Problems 34 (2), 025005, 2018
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent
R Barbano, C Zhang, S Arridge, B Jin
25th International Conference on Pattern Recognition, 2020
Conditional variational autoencoder for learned image reconstruction
C Zhang, R Barbano, B Jin
Computation 9 (11), 114, 2021
Expectation propagation for Poisson data
C Zhang, S Arridge, B Jin
Inverse Problems 35 (8), 085006, 2019
Probabilistic residual learning for aleatoric uncertainty in image restoration
C Zhang, B Jin
arXiv preprint arXiv:1908.01010, 2019
Split Hierarchical Variational Compression
T Ryder, C Zhang, N Kang, S Zhang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction
R Barbano, Ž Kereta, C Zhang, A Hauptmann, S Arridge, B Jin
NeurIPS 2020 workshop on Inverse Problems and Deep Learning, 2020
Spread flows for manifold modelling
M Zhang, Y Sun, C Zhang, S McDonagh
International Conference on Artificial Intelligence and Statistics, 11435-11456, 2023
Osoa: One-shot online adaptation of deep generative models for lossless compression
C Zhang, S Zhang, FM Carlucci, Z Li
Advances in Neural Information Processing Systems 34, 19525-19537, 2021
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