Jonas Adler

Citirano

	Sve	Od 2020.
Citati	46259	45760
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i10-indeks	32	31

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Suautori

Ozan ÖktemDepartment of Mathematics, KTH - Royal Institute of TechnologyPotvrđena adresa e-pošte na oktem.se
Andreas HauptmannAcademy Research Fellow & Associate Professor, University of OuluPotvrđena adresa e-pošte na oulu.fi
Simon ARRIDGEUniversity College LondonPotvrđena adresa e-pošte na cs.ucl.ac.uk
Jens SjölundAssistant Professor at Uppsala UniversityPotvrđena adresa e-pošte na it.uu.se
Pushmeet KohliDeepMindPotvrđena adresa e-pošte na google.com
Axel RinghAssistant Professor, Department of Mathematical Sciences, Chalmers University of TechnologyPotvrđena adresa e-pošte na chalmers.se
Johan KarlssonProfessor, Department of Mathematics, KTH Royal Institute of TechnologyPotvrđena adresa e-pošte na math.kth.se
Kathryn TunyasuvunakoolDeepMindPotvrđena adresa e-pošte na kathryn.at
Simon KohlFounder, Latent LabsPotvrđena adresa e-pošte na latentlabs.com
John JumperDeepMindPotvrđena adresa e-pošte na google.com
Carola-Bibiane SchönliebDAMTP, University of CambridgePotvrđena adresa e-pošte na cam.ac.uk
John MoultUniversity of MarylandPotvrđena adresa e-pošte na tunc.org
Andriy KryshtafovychUniversity of California, DavisPotvrđena adresa e-pošte na ucdavis.edu
Sebastian BanertPost-doc, University of BremenPotvrđena adresa e-pošte na uni-bremen.de
Andrew SeniorGoogle DeepMindPotvrđena adresa e-pošte na google.com
S. M. Ali EslamiGoogle DeepMindPotvrđena adresa e-pošte na google.com
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyPotvrđena adresa e-pošte na cs.uni-freiburg.de
Nikolay SavinovResearch Scientist, Google DeepMindPotvrđena adresa e-pošte na google.com
Jonas TeuwenNetherlands Cancer Institute / Radboud University Medical CenterPotvrđena adresa e-pošte na nki.nl
Marta GarneloResearch Scientist at DeepMindPotvrđena adresa e-pošte na google.com

Prati

Jonas Adler

Sr Staff Research Scientist, Google DeepMind

Potvrđena adresa e-pošte na google.com - Početna stranica

Inverse problems Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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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