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Jonas Adler
Jonas Adler
Sr Staff Research Scientist, Google DeepMind
Email confirmado em google.com - Página inicial
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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
329302021
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
33862023
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
31612024
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
25962021
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
12832024
Learned primal-dual reconstruction
J Adler, O Öktem
IEEE transactions on medical imaging, 2018
9742018
Solving ill-posed inverse problems using iterative deep neural networks
J Adler, O Öktem
Inverse Problems 33 (12), 124007, 2017
7692017
Banach Wasserstein GAN
J Adler, S Lunz
Neural Information Processing Systems, 2018
3772018
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
3722018
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
3692021
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
1662020
Deep Bayesian Inversion
J Adler, O Öktem
arXiv preprint arXiv:1811.05910, 2018
1582018
Operator Discretization Library (ODL)
J Adler, H Kohr, O Öktem
Software available from https://github. com/odlgroup/odl, 2017
152*2017
Computational predictions of protein structures associated with COVID-19
J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, the AlphaFold Team
DeepMind website, 2020
123*2020
Continuous diffusion for categorical data
S Dieleman, L Sartran, A Roshannai, N Savinov, Y Ganin, PH Richemond, ...
arXiv preprint arXiv:2211.15089, 2022
972022
Multi-scale learned iterative reconstruction
A Hauptmann, J Adler, S Arridge, O Öktem
IEEE transactions on computational imaging 6, 843-856, 2020
562020
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, CB Schönlieb, O Öktem
Inverse Problems 38 (7), 075006, 2022
542022
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
492021
Learning to solve inverse problems using Wasserstein loss
J Adler, A Ringh, O Öktem, J Karlsson
NIPS 2017 Optimal Transport and Machine Learning, 2017
422017
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
382021
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