Jonas Adler

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Ozan ÖktemDepartment of Mathematics, KTH - Royal Institute of TechnologyEmail confirmado em oktem.se
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluEmail confirmado em oulu.fi
Simon ARRIDGEUniversity College LondonEmail confirmado em cs.ucl.ac.uk
Marta M. BetckeUniversity College LondonEmail confirmado em ucl.ac.uk
Felix LuckaCentrum Wiskunde & InformaticaEmail confirmado em cwi.nl
Ben CoxUniversity College LondonEmail confirmado em ucl.ac.uk
Jens SjölundAssistant Professor at Uppsala UniversityEmail confirmado em it.uu.se
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonEmail confirmado em kcl.ac.uk
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of TechnologyEmail confirmado em chalmers.se
Johan KarlssonProfessor, Department of Mathematics, KTH Royal Institute of TechnologyEmail confirmado em math.kth.se
Simon KohlResearch Scientist, DeepMindEmail confirmado em google.com
Carola-Bibiane SchönliebDAMTP, University of CambridgeEmail confirmado em cam.ac.uk
Olivier VerdierBergen University CollegeEmail confirmado em hvl.no
John MoultUniversity of MarylandEmail confirmado em tunc.org
Andriy KryshtafovychUniversity of California, DavisEmail confirmado em ucdavis.edu
Sebastian BanertPost-doc, University of BremenEmail confirmado em uni-bremen.de
S. M. Ali EslamiGoogle DeepMindEmail confirmado em google.com
Dan RosenbaumUniversity of HaifaEmail confirmado em cs.haifa.ac.il
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyEmail confirmado em cs.uni-freiburg.de
Kathryn TunyasuvunakoolDeepMindEmail confirmado em kathryn.at

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Jonas Adler

Staff Research Scientist, Google DeepMind

Email confirmado em google.com - Página inicial

Inverse problems Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	21365	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	1984	2021
Learned primal-dual reconstruction J Adler, O Öktem IEEE transactions on medical imaging, 2018	828	2018
Solving ill-posed inverse problems using iterative deep neural networks J Adler, O Öktem Inverse Problems 33 (12), 124007, 2017	669	2017
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023	407	2023
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	319	2018
Banach Wasserstein GAN J Adler, S Lunz Neural Information Processing Systems, 2018	280	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	265	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	151	2020
Deep Bayesian Inversion J Adler, O Öktem arXiv preprint arXiv:1811.05910, 2018	133	2018
Operator Discretization Library (ODL) J Adler, H Kohr, O Öktem Software available from https://github. com/odlgroup/odl, 2017	124*	2017
Computational predictions of protein structures associated with COVID-19 J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team DeepMind website, 2020	101*	2020
Continuous diffusion for categorical data S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ... arXiv preprint arXiv:2211.15089, 2022	54	2022
Task adapted reconstruction for inverse problems J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem Inverse Problems 38 (7), 075006, 2022	45	2022
Multi-scale learned iterative reconstruction A Hauptmann, J Adler, S Arridge, O Öktem IEEE transactions on computational imaging 6, 843-856, 2020	45	2020
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	40	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	37	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	31	2021
Data-driven nonsmooth optimization S Banert, A Ringh, J Adler, J Karlsson, O Oktem SIAM Journal on Optimization 30 (1), 102-131, 2020	30	2020
A unified representation network for segmentation with missing modalities K Lau, J Adler, J Sjölund arXiv preprint arXiv:1908.06683, 2019	26	2019

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