受强制性开放获取政策约束的文章 - Johannes Hertrich了解详情
无法在其他位置公开访问的文章：1 篇
Minimal Lipschitz extensions for vector-valued functions on finite graphs
J Hertrich, M Bačák, S Neumayer, G Steidl
International Conference on Scale Space and Variational Methods in Computer …, 2019
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：16 篇
Convolutional proximal neural networks and plug-and-play algorithms
J Hertrich, S Neumayer, G Steidl
Linear Algebra and its Applications 631, 203-234, 2021
强制性开放获取政策： German Research Foundation
Parseval proximal neural networks
M Hasannasab, J Hertrich, S Neumayer, G Plonka, S Setzer, G Steidl
Journal of Fourier Analysis and Applications 26, 1-31, 2020
强制性开放获取政策： German Research Foundation
Stochastic normalizing flows for inverse problems: a Markov Chains viewpoint
P Hagemann, J Hertrich, G Steidl
SIAM/ASA Journal on Uncertainty Quantification 10 (3), 1162-1190, 2022
强制性开放获取政策： German Research Foundation
PatchNR: learning from very few images by patch normalizing flow regularization
F Altekrüger, A Denker, P Hagemann, J Hertrich, P Maass, G Steidl
Inverse Problems 39 (6), 064006, 2023
强制性开放获取政策： German Research Foundation, European Commission
Generalized Normalizing Flows via Markov Chains
P Hagemann, J Hertrich, G Steidl
Elements in Non-local Data Interactions: Foundations and Applications, 2023
强制性开放获取政策： German Research Foundation
Wasserstein patch prior for image superresolution
J Hertrich, A Houdard, C Redenbach
IEEE Transactions on Computational Imaging 8, 693-704, 2022
强制性开放获取政策： German Research Foundation, Agence Nationale de la Recherche, Federal …
Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the student t distribution
M Hasannasab, J Hertrich, F Laus, G Steidl
Numerical Algorithms 87 (1), 77-118, 2021
强制性开放获取政策： German Research Foundation
Inertial stochastic PALM and applications in machine learning
J Hertrich, G Steidl
Sampling Theory, Signal Processing, and Data Analysis 20, 1-33, 2022
强制性开放获取政策： German Research Foundation
WPPNets and WPPFlows: The power of Wasserstein patch priors for superresolution
F Altekrüger, J Hertrich
SIAM Journal on Imaging Sciences 16 (3), 1033-1067, 2023
强制性开放获取政策： German Research Foundation, European Commission
Manifold learning by mixture models of vaes for inverse problems
GS Alberti, J Hertrich, M Santacesaria, S Sciutto
Journal of Machine Learning Research 25 (202), 1-35, 2024
强制性开放获取政策： US Department of Defense, German Research Foundation, UK Engineering and …
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line
J Hertrich, R Beinert, M Gräf, G Steidl
International Conference on Scale Space and Variational Methods in Computer …, 2023
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
Proximal residual flows for bayesian inverse problems
J Hertrich
International Conference on Scale Space and Variational Methods in Computer …, 2023
强制性开放获取政策： German Research Foundation
Fast kernel summation in high dimensions via slicing and Fourier transforms
J Hertrich
SIAM Journal on Mathematics of Data Science 6 (4), 1109-1137, 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Learning from small data sets: Patch‐based regularizers in inverse problems for image reconstruction
M Piening, F Altekrüger, J Hertrich, P Hagemann, A Walther, G Steidl
GAMM‐Mitteilungen 47 (4), e202470002, 2024
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, European Commission
Minimal Lipschitz and∞-harmonic extensions of vector-valued functions on finite graphs
M Bačák, J Hertrich, S Neumayer, G Steidl
Information and Inference: A Journal of the IMA 9 (4), 935-959, 2020
强制性开放获取政策： German Research Foundation
Image super-resolution with PCA reduced generalized Gaussian mixture models in materials science
DPL Nguyen, J Hertrich, JF Aujol, Y Berthoumieu
Inverse Problems and Imaging, 2023
强制性开放获取政策： German Research Foundation, Agence Nationale de la Recherche
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