Jonas Adler

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Ozan ÖktemDepartment of Mathematics, KTH - Royal Institute of TechnologyVerificeret mail på oktem.se
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluVerificeret mail på oulu.fi
Simon ARRIDGEUniversity College LondonVerificeret mail på cs.ucl.ac.uk
Jens SjölundAssistant Professor at Uppsala UniversityVerificeret mail på it.uu.se
Pushmeet KohliDeepMindVerificeret mail på google.com
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of TechnologyVerificeret mail på chalmers.se
Johan KarlssonProfessor, Department of Mathematics, KTH Royal Institute of TechnologyVerificeret mail på math.kth.se
Kathryn TunyasuvunakoolDeepMindVerificeret mail på kathryn.at
Simon KohlFounder, Latent LabsVerificeret mail på latentlabs.com
John JumperDeepMindVerificeret mail på google.com
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerificeret mail på cam.ac.uk
John MoultUniversity of MarylandVerificeret mail på tunc.org
Andriy KryshtafovychUniversity of California, DavisVerificeret mail på ucdavis.edu
Sebastian BanertPost-doc, University of BremenVerificeret mail på uni-bremen.de
Andrew SeniorGoogle DeepMindVerificeret mail på google.com
S. M. Ali EslamiGoogle DeepMindVerificeret mail på google.com
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyVerificeret mail på cs.uni-freiburg.de
Nikolay SavinovResearch Scientist, Google DeepMindVerificeret mail på google.com
Jonas TeuwenNetherlands Cancer Institute / Radboud University Medical CenterVerificeret mail på nki.nl
Marta GarneloResearch Scientist at DeepMindVerificeret mail på google.com

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Jonas Adler

Sr Staff Research Scientist, Google DeepMind

Verificeret mail på google.com - Startside

Inverse problems Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	32393	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	3196	2023
Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ... Nature 630 (8016), 493-500, 2024	2879	2024
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	2559	2021
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	1165	2024
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging, 2018	969	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	765	2017
Banach Wasserstein GAN J Adler, S Lunz Neural Information Processing Systems, 2018	374	2018
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	372	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	367	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	164	2020
Deep Bayesian Inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	157	2018
Operator Discretization Library (ODL) J Adler, H Kohr, O Öktem Software available from https://github. com/odlgroup/odl, 2017	151*	2017
Computational predictions of protein structures associated with COVID-19 J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team DeepMind website, 2020	122*	2020
Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022	95	2022
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	56	2020
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	54	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
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	38	2021

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