Jonas Adler

According to our database, Jonas Adler authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerated Forward-Backward Optimization Using Deep Learning.

Sebastian Banert, Jevgenija Rudzusika, Ozan Öktem, Jonas Adler

SIAM J. Optim., 2024

2022

Continuous diffusion for categorical data.

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

CoRR, 2022

2021

Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs.

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

CoRR, 2021

2020

Multi-Scale Learned Iterative Reconstruction.

Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem

IEEE Trans. Computational Imaging, 2020

Data-Driven Nonsmooth Optimization.

Sebastian Banert, Axel Ringh, Jonas Adler, Johan Karlsson, Ozan Öktem

SIAM J. Optim., 2020

On the unreasonable effectiveness of CNNs.

Andreas Hauptmann, Jonas Adler

CoRR, 2020

Kernel of CycleGAN as a Principle homogeneous space.

Nikita Moriakov, Jonas Adler, Jonas Teuwen

CoRR, 2020

Kernel of CycleGAN as a principal homogeneous space.

Nikita Moriakov, Jonas Adler, Jonas Teuwen

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Data-driven Methods in Inverse Problems.

Jonas Adler

PhD thesis, 2019

A unified representation network for segmentation with missing modalities.

Kenneth Lau, Jonas Adler, Jens Sjölund

CoRR, 2019

2018

Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography.

Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Jonas Adler, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge

IEEE Trans. Medical Imaging, 2018

Learned Primal-Dual Reconstruction.

Jonas Adler, Ozan Öktem

IEEE Trans. Medical Imaging, 2018

Deep Bayesian Inversion.

Jonas Adler, Ozan Öktem

CoRR, 2018

Task adapted reconstruction for inverse problems.

Jonas Adler, Sebastian Lunz, Olivier Verdier, Carola-Bibiane Schönlieb, Ozan Öktem

CoRR, 2018

Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction.

Nikita Moriakov, Koen Michielsen, Jonas Adler, Ritse Mann, Ioannis Sechopoulos, Jonas Teuwen

CoRR, 2018

A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images.

Awais Ashfaq, Jonas Adler

CoRR, 2018

Banach Wasserstein GAN.

Jonas Adler, Sebastian Lunz

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Learning to solve inverse problems using Wasserstein loss.

Jonas Adler, Axel Ringh, Ozan Öktem, Johan Karlsson

CoRR, 2017

Solving ill-posed inverse problems using iterative deep neural networks.

Jonas Adler, Ozan Öktem

CoRR, 2017