Prati
Alexander Pritzel
Alexander Pritzel
Deepmind
Potvrđena adresa e-pošte na google.com
Naslov
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
273572021
Continuous control with deep reinforcement learning
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, YT T Erez, D Silver, D Wierstra
arXiv preprint arXiv:1509.02971, 2015
174672015
Simple and scalable predictive uncertainty estimation using deep ensembles
B Lakshminarayanan, A Pritzel, C Blundell
Advances in neural information processing systems 30, 2017
62042017
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
22792021
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
biorxiv, 2021.10. 04.463034, 2021
21502021
Deep exploration via bootstrapped DQN
I Osband, C Blundell, A Pritzel, B Van Roy
Advances in neural information processing systems 29, 2016
15012016
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
14902023
Pathnet: Evolution channels gradient descent in super neural networks
C Fernando, D Banarse, C Blundell, Y Zwols, D Ha, AA Rusu, A Pritzel, ...
arXiv preprint arXiv:1701.08734, 2017
9962017
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
7652024
Vector-based navigation using grid-like representations in artificial agents
A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ...
Nature 557 (7705), 429-433, 2018
7382018
Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
Science 382 (6677), 1416-1421, 2023
594*2023
Darla: Improving zero-shot transfer in reinforcement learning
I Higgins, A Pal, A Rusu, L Matthey, C Burgess, A Pritzel, M Botvinick, ...
International Conference on Machine Learning, 1480-1490, 2017
5112017
Accurate proteome-wide missense variant effect prediction with AlphaMissense
J Cheng, G Novati, J Pan, C Bycroft, A Žemgulytė, T Applebaum, A Pritzel, ...
Science 381 (6664), eadg7492, 2023
4892023
Neural episodic control
A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ...
International conference on machine learning, 2827-2836, 2017
4282017
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
384*2021
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
3582024
Never give up: Learning directed exploration strategies
AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ...
arXiv preprint arXiv:2002.06038, 2020
3532020
Model-free episodic control
C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ...
arXiv preprint arXiv:1606.04460, 2016
3022016
Memory-based parameter adaptation
P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ...
arXiv preprint arXiv:1802.10542, 2018
1182018
Scrambling in the black hole portrait
G Dvali, D Flassig, C Gomez, A Pritzel, N Wintergerst
Physical Review D 88 (12), 124041, 2013
1182013
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Članci 1–20