Jonas Adler

Cited by

	All	Since 2018
Citations	21905	21848
h-index	20	20
i10-index	27	27

12000

6000

3000

9000

201820192020202120222023124 267 431 1740 7968 11133

Public access

View all

11 articles

1 article

available

not available

Based on funding mandates

Co-authors

Ozan ÖktemDepartment of Mathematics, KTH - Royal Institute of TechnologyVerified email at oktem.se
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluVerified email at oulu.fi
Simon ARRIDGEUniversity College LondonVerified email at cs.ucl.ac.uk
Simon KohlResearch Scientist, DeepMindVerified email at google.com
Marta M. BetckeUniversity College LondonVerified email at ucl.ac.uk
Felix LuckaCentrum Wiskunde & InformaticaVerified email at cwi.nl
Ben CoxUniversity College LondonVerified email at ucl.ac.uk
Jens SjölundAssistant Professor at Uppsala UniversityVerified email at it.uu.se
Kathryn TunyasuvunakoolDeepMindVerified email at kathryn.at
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerified email at kcl.ac.uk
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of TechnologyVerified email at chalmers.se
Johan KarlssonProfessor, Department of Mathematics, KTH Royal Institute of TechnologyVerified email at math.kth.se
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
Olivier VerdierBergen University CollegeVerified email at hvl.no
John MoultUniversity of MarylandVerified email at tunc.org
Andriy KryshtafovychUniversity of California, DavisVerified email at ucdavis.edu
Sebastian BanertPost-doc, University of BremenVerified email at uni-bremen.de
S. M. Ali EslamiGoogle DeepMindVerified email at google.com
Dan RosenbaumUniversity of HaifaVerified email at cs.haifa.ac.il
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de

Jonas Adler

Staff Research Scientist, Google DeepMind

Verified email at google.com - Homepage

Inverse problems Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Nature 596 (7873), 583-589, 2021	17130	2021
Highly accurate protein structure prediction for the human proteome K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ... Nature 596 (7873), 590-596, 2021	1727	2021
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging, 2018	766	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	633	2017
Model-based learning for accelerated, limited-view 3-D photoacoustic tomography A Hauptmann, F Lucka, M Betcke, N Huynh, J Adler, B Cox, P Beard, ... IEEE transactions on medical imaging 37 (6), 1382-1393, 2018	293	2018
Banach Wasserstein GAN J Adler, S Lunz Neural Information Processing Systems, 2018	246	2018
Applying and improving AlphaFold at CASP14 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021	217	2021
High Accuracy Protein Structure Prediction Using Deep Learning J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ... Fourteenth Critical Assessment of Techniques for Protein Structure Prediction, 2020	143	2020
Deep Bayesian Inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	125	2018
Operator Discretization Library (ODL) J Adler, H Kohr, O Öktem Software available from https://github. com/odlgroup/odl, 2017	122*	2017
Computational predictions of protein structures associated with COVID-19 J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team DeepMind website, 2020	74*	2020
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	42	2020
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	41	2022
Learning to solve inverse problems using Wasserstein loss J Adler, A Ringh, O Öktem, J Karlsson NIPS 2017 Optimal Transport and Machine Learning, 2017	36	2017
Inferring a continuous distribution of atom coordinates from cryo-EM images using VAEs D Rosenbaum, M Garnelo, M Zielinski, C Beattie, E Clancy, A Huber, ... arXiv preprint arXiv:2106.14108, 2021	35	2021
Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022	32	2022
Computational models in the service of X‐ray and cryo‐electron microscopy structure determination A Kryshtafovych, J Moult, R Albrecht, GA Chang, K Chao, A Fraser, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1633-1646, 2021	28	2021
Data-driven nonsmooth optimization S Banert, A Ringh, J Adler, J Karlsson, O Oktem SIAM Journal on Optimization 30 (1), 102-131, 2020	28	2020
A unified representation network for segmentation with missing modalities K Lau, J Adler, J Sjölund arXiv preprint arXiv:1908.06683, 2019	26	2019
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination D Kimanius, G Zickert, T Nakane, J Adler, S Lunz, CB Schönlieb, O Öktem, ... IUCrJ 8 (1), 60-75, 2021	20	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors