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2020 – today
- 2024
[j5]Sebastian Banert
, Jevgenija Rudzusika, Ozan Öktem, Jonas Adler:
Accelerated Forward-Backward Optimization Using Deep Learning. SIAM J. Optim. 34(2): 1236-1263 (2024)- 2022
- [i14]Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler:
Continuous diffusion for categorical data. CoRR abs/2211.15089 (2022) - 2021
- [i13]Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler:
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR abs/2106.14108 (2021) - 2020
- [j4]Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem:
Data-Driven Nonsmooth Optimization. SIAM J. Optim. 30(1): 102-131 (2020) - [j3]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. IEEE Trans. Computational Imaging 6: 843-856 (2020) - [c2]Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a principal homogeneous space. ICLR 2020 - [i12]Nikita Moriakov, Jonas Adler, Jonas Teuwen:
Kernel of CycleGAN as a Principle homogeneous space. CoRR abs/2001.09061 (2020) - [i11]Andreas Hauptmann, Jonas Adler:
On the unreasonable effectiveness of CNNs. CoRR abs/2007.14745 (2020)
2010 – 2019
- 2019
- [b1]Jonas Adler:
Data-driven Methods in Inverse Problems. Royal Institute of Technology, Stockholm, Sweden, 2019 - [i10]Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem:
Multi-Scale Learned Iterative Reconstruction. CoRR abs/1908.00936 (2019) - [i9]Kenneth Lau, Jonas Adler, Jens Sjölund:
A unified representation network for segmentation with missing modalities. CoRR abs/1908.06683 (2019) - 2018
- [j2]Jonas Adler, Ozan Öktem:
Learned Primal-Dual Reconstruction. IEEE Trans. Medical Imaging 37(6): 1322-1332 (2018) - [j1]Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Jonas Adler, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge:
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Trans. Medical Imaging 37(6): 1382-1393 (2018) - [c1]Jonas Adler, Sebastian Lunz:
Banach Wasserstein GAN. NeurIPS 2018: 6755-6764 - [i8]Awais Ashfaq, Jonas Adler:
A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images. CoRR abs/1801.05694 (2018) - [i7]Jonas Adler, Sebastian Lunz:
Banach Wasserstein GAN. CoRR abs/1806.06621 (2018) - [i6]Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen:
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. CoRR abs/1808.04640 (2018) - [i5]Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem:
Task adapted reconstruction for inverse problems. CoRR abs/1809.00948 (2018) - [i4]Jonas Adler, Ozan Öktem:
Deep Bayesian Inversion. CoRR abs/1811.05910 (2018) - 2017
- [i3]Jonas Adler, Ozan Öktem:
Solving ill-posed inverse problems using iterative deep neural networks. CoRR abs/1704.04058 (2017) - [i2]Jonas Adler, Ozan Öktem:
Learned Primal-dual Reconstruction. CoRR abs/1707.06474 (2017) - [i1]Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson:
Learning to solve inverse problems using Wasserstein loss. CoRR abs/1710.10898 (2017)
Coauthor Index
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