Jonas Adler

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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 KohlResearch Scientist, DeepMindVerified email at google.com
Simon ARRIDGEUniversity College LondonVerified email at cs.ucl.ac.uk
Sebastian LunzPhD Student, University of CambridgeVerified email at cam.ac.uk
Kathryn TunyasuvunakoolDeepMindVerified email at kathryn.at
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
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 KarlssonAssociate Professor, Department of Mathematics, KTH Royal Institute of TechnologyVerified email at math.kth.se
Jens SjölundAssistant Professor at Uppsala UniversityVerified email at it.uu.se
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
Olivier VerdierBergen University CollegeVerified email at hvl.no
Sebastian BanertPost-doc, Lund UniversityVerified email at control.lth.se
John MoultUniversity of MarylandVerified email at tunc.org
Andriy KryshtafovychUniversity of California, DavisVerified email at ucdavis.edu
Willem Jan PalenstijnResearcher at Centrum Wiskunde & InformaticaVerified email at cwi.nl
Kees Joost BatenburgProfessor of Imaging and VisualizationVerified email at liacs.leidenuniv.nl

Jonas Adler

Senior 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	4477	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	680	2021
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging, 2018	529	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	461	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	225	2018
Banach Wasserstein GAN J Adler, S Lunz Neural Information Processing Systems, 2018	163	2018
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	108	2020
Operator Discretization Library (ODL) J Adler, H Kohr, O Öktem Software available from https://github. com/odlgroup/odl, 2017	97*	2017
Deep Bayesian Inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	86	2018
Computational predictions of protein structures associated with COVID-19 J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team DeepMind website, 2020	66*	2020
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	64	2021
Learning to solve inverse problems using Wasserstein loss J Adler, A Ringh, O Öktem, J Karlsson NIPS 2017 Optimal Transport and Machine Learning, 2017	27	2017
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	23	2022
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	23	2020
Data-driven nonsmooth optimization S Banert, A Ringh, J Adler, J Karlsson, O Oktem SIAM Journal on Optimization 30 (1), 102-131, 2020	22	2020
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	15	2021
EDS tomographic reconstruction regularized by total nuclear variation joined with HAADF-STEM tomography Z Zhong, WJ Palenstijn, J Adler, KJ Batenburg Ultramicroscopy 191, 34-43, 2018	15	2018
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	14	2021
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	12	2021
Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment A Kryshtafovych, J Moult, WM Billings, D Della Corte, K Fidelis, S Kwon, ... Proteins: Structure, Function, and Bioinformatics 89 (12), 1987-1996, 2021	9	2021

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