Johannes Schwab

19 papers Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training. CoRR Markus Haltmeier, Lukas Neumann, Nadja Gruber, Johannes Schwab, Gyeongha Hwang
2025	J	`jnl`	Learning Regularization Functionals for Inverse Problems: A Comparative Study. CoRR Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025	J	`jnl`	Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise. IEEE Access Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang
2025	J	`jnl`	Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise. CoRR Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang
2025	J	`jnl`	Training NTK to Generalize with KARE. CoRR Johannes Schwab, Bryan Kelly, Semyon Malamud, Teng Andrea Xu
2024	J	`jnl`	Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging. J. Comput. Appl. Math. Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
2023	J	`jnl`	Single-Image based unsupervised joint segmentation and denoising. CoRR Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier
2023	J	`jnl`	Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs. CoRR Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
2022	J	`jnl`	A Joint Variational Multichannel Multiphase Segmentation Framework. CoRR Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier
2020	J	`jnl`	Big in Japan: Regularizing Networks for Solving Inverse Problems. J. Math. Imaging Vis. Johannes Schwab, Stephan Antholzer, Markus Haltmeier
2020	J	`jnl`	Data-consistent neural networks for solving nonlinear inverse problems. CoRR Yoeri E. Boink, Markus Haltmeier, Sean Holman, Johannes Schwab
2020	J	`jnl`	Deep synthesis regularization of inverse problems. CoRR Daniel Obmann, Johannes Schwab, Markus Haltmeier
2020	J	`jnl`	Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition. CoRR Andrea Ebner, Jürgen Frikel, Dirk A. Lorenz, Johannes Schwab, Markus Haltmeier
2020	—	`conf`	Sparse Anett For Solving Inverse Problems With Deep Learning. ISBI Workshops Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
2020	J	`jnl`	Sparse aNETT for Solving Inverse Problems with Deep Learning. CoRR Daniel Obmann, Linh V. Nguyen, Johannes Schwab, Markus Haltmeier
2019	J	`jnl`	Sparse 𝓁 CoRR Markus Haltmeier, Linh V. Nguyen, Daniel Obmann, Johannes Schwab
2018	J	`jnl`	A Galerkin Least Squares Approach for Photoacoustic Tomography. SIAM J. Numer. Anal. Johannes Schwab, Sergiy Pereverzyev Jr., Markus Haltmeier
2018	J	`jnl`	NETT: Solving Inverse Problems with Deep Neural Networks. CoRR Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier
2017	J	`jnl`	Deep Learning for Photoacoustic Tomography from Sparse Data. CoRR Stephan Antholzer, Markus Haltmeier, Johannes Schwab