Jonas Adler

Cited by

	All	Since 2019
Citations	40075	39847
h-index	23	23
i10-index	30	30

18000

9000

4500

13500

2018201920202021202220232024123 266 447 1761 8087 11845 17162

Public access

View all

13 articles

0 articles

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
Jens SjölundAssistant Professor at Uppsala UniversityVerified email at it.uu.se
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
Simon KohlResearch Scientist, DeepMindVerified email at google.com
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
John JumperDeepMindVerified email at google.com
Sebastian BanertPost-doc, University of BremenVerified email at uni-bremen.de
John MoultUniversity of MarylandVerified email at tunc.org
Andriy KryshtafovychUniversity of California, DavisVerified email at ucdavis.edu
S. M. Ali EslamiGoogle DeepMindVerified email at google.com
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Kathryn TunyasuvunakoolDeepMindVerified email at kathryn.at
Nikolay SavinovResearch Scientist, Google DeepMindVerified email at google.com
Jonas TeuwenNetherlands Cancer Institute / Radboud University Medical CenterVerified email at nki.nl
Andrew SeniorGoogle DeepMindVerified email at google.com
Marta GarneloResearch Scientist at DeepMindVerified email at google.com
Pushmeet KohliDeepMindVerified email at google.com

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	29485	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	2394	2021
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023	2146	2023
Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ... Nature, 1-3, 2024	1519	2024
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging, 2018	940	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	738	2017
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024	671*	2024
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	362	2018
Banach Wasserstein GAN J Adler, S Lunz Neural Information Processing Systems, 2018	350	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	337	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	157	2020
Deep Bayesian Inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	149	2018
Operator Discretization Library (ODL) J Adler, H Kohr, O Öktem Software available from https://github. com/odlgroup/odl, 2017	142*	2017
Computational predictions of protein structures associated with COVID-19 J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team DeepMind website, 2020	108*	2020
Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022	82	2022
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	53	2020
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	51	2022
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	49	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	41	2017
Data-driven nonsmooth optimization S Banert, A Ringh, J Adler, J Karlsson, O Oktem SIAM Journal on Optimization 30 (1), 102-131, 2020	38	2020

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