Parseval Proximal Neural Networks von Hasannasab, Marzieh, Hertrich, Johannes, Neumayer, Sebastian, Plonka, Gerlind, Setzer, Simon, Steidl, Gabriele

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Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience von Batard, Thomas, Hertrich, Johannes, Steidl, Gabriele

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Correction to: Parseval Proximal Neural Networks von Hasannasab, Marzieh, Hertrich, Johannes, Neumayer, Sebastian, Plonka, Gerlind, Setzer, Simon, Steidl, Gabriele

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Mixed noise and posterior estimation with conditional deepGEM von Hagemann, Paul, Hertrich, Johannes, Casfor, Maren, Heidenreich, Sebastian, Steidl, Gabriele

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Convolutional proximal neural networks and Plug-and-Play algorithms von Hertrich, Johannes, Neumayer, Sebastian, Steidl, Gabriele

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Inertial stochastic PALM and applications in machine learning von Hertrich, Johannes, Steidl, Gabriele

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Proximal Residual Flows for Bayesian Inverse Problems von Hertrich, Johannes

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Wasserstein steepest descent flows of discrepancies with Riesz kernels von Hertrich, Johannes, Gräf, Manuel, Beinert, Robert, Steidl, Gabriele

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Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint von Hagemann, Paul, Hertrich, Johannes, Steidl, Gabriele

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WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution von Altekrüger, Fabian, Hertrich, Johannes

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PatchNR: learning from very few images by patch normalizing flow regularization von Altekrüger, Fabian, Denker, Alexander, Hagemann, Paul, Hertrich, Johannes, Maass, Peter, Steidl, Gabriele

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Wasserstein Patch Prior for Image Superresolution von Hertrich, Johannes, Houdard, Antoine, Redenbach, Claudia

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Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution von Hasannasab, Marzieh, Hertrich, Johannes, Laus, Friederike, Steidl, Gabriele

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Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution (vol 87, pg 77, 2021) von Hasannasab, Marzieh, Hertrich, Johannes, Laus, Friederike, Steidl, Gabriele

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Correction to: Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution von Hasannasab, Marzieh, Hertrich, Johannes, Laus, Friederike, Steidl, Gabriele

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Fast Kernel Summation in High Dimensions via Slicing and Fourier Transforms von Hertrich, Johannes

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Learning from small data sets: Patch‐based regularizers in inverse problems for image reconstruction von Piening, Moritz, Altekrüger, Fabian, Hertrich, Johannes, Hagemann, Paul, Walther, Andrea, Steidl, Gabriele

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Parseval Proximal Neural Networks (Jul, 10.1007/s00041-020-09761-7, 2020) von Hasannasab, Marzieh, Hertrich, Johannes, Neumayer, Sebastian, Plonka, Gerlind, Setzer, Simon, Steidl, Gabriele

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Classification of regions according to the dominant innovation barriers: The characteristics and stability of region types in Germany von Hertrich, Tobias Johannes, Brenner, Thomas

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Minimal Lipschitz and ∞-harmonic extensions of vector-valued functions on finite graphs von Bačák, Miroslav, Hertrich, Johannes, Neumayer, Sebastian, Steidl, Gabriele

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