AP
Alexander Pritzel
cs.LGstat.MLcs.AIhep-thcond-mat.quant-gasgr-qcModels, MolecularNeural Networks, Computercond-mat.stat-mechcs.CL
On Valency
published · living versionsW_45caf8hg·v1 · currentpublished
Model-Free Episodic Control
with Charles Blundell, Benigno Uria, Yazhe Li, Avraham Ruderman +4
1 version
Preprints & journals
33 papers in the corpus · 2011–2024Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3.39604737 · Abramson, Josh, Adler, Jonas, Dunger, Jack et al.2025 · 348 citationsNature. 2024;636(8042):E4
Accurate structure prediction of biomolecular interactions with AlphaFold 3.38718835 · Abramson, Josh, Adler, Jonas, Dunger, Jack et al.2024 · 15,549 citationsNature. 2024;630(8016):493-500
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context2403.05530v5 · Gemini Team Google: Petko Georgiev, Ving Ian Lei, Ryan Burnell et al.2024 · 302 citationsarXiv
Gemini: A Family of Highly Capable Multimodal Models2312.11805v5 · Gemini Team Google: Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac et al.2023 · 988 citationsarXiv
Learning skillful medium-range global weather forecasting.37962497 · Lam, Remi, Sanchez-Gonzalez, Alvaro, Willson, Matthew et al.2023 · 1,453 citationsScience (New York, N.Y.). 2023;382(6677):1416-1421
Accurate proteome-wide missense variant effect prediction with AlphaMissense.37733863 · Cheng, Jun, Novati, Guido, Pan, Joshua et al.2023 · 2,128 citationsScience (New York, N.Y.). 2023;381(6664):eadg7492
GraphCast: Learning skillful medium-range global weather forecasting2212.12794v2 · Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson et al.2022 · 155 citationsarXiv
MultiScale MeshGraphNets2210.00612v1 · Meire Fortunato, Tobias Pfaff, Peter Wirnsberger et al.2022 · 31 citations2nd AI4Science Workshop at the 39th International Conference on Machine Learning (ICML), 2022
Applying and improving AlphaFold at CASP14.34599769 · Jumper, John, Evans, Richard, Pritzel, Alexander et al.2022 · 397 citationsProteins. 2021;89(12):1711-1721
Normalizing flows for atomic solids2111.08696v2 · Peter Wirnsberger, George Papamakarios, Borja Ibarz et al.2021 · 42 citationsarXiv
Protein complex prediction with AlphaFold-Multimer10.1101/2021.10.04.463034v2 · Evans, R., O'Neill, M., Pritzel, A. et al.2021 · 3,788 citationsbioRxiv
Highly accurate protein structure prediction for the human proteome.34293799 · Tunyasuvunakool, Kathryn, Adler, Jonas, Wu, Zachary et al.2022 · 3,013 citationsNature. 2021;596(7873):590-596
Highly accurate protein structure prediction with AlphaFold.34265844 · Jumper, John, Evans, Richard, Pritzel, Alexander et al.2022 · 43,443 citationsNature. 2021;596(7873):583-589
Never Give Up: Learning Directed Exploration Strategies2002.06038v1 · Adria Puigdomenech Badia, Pablo Sprechmann, Alex Vitvitskyi et al.2020 · 169 citationsarXiv
Meta-learning of Sequential Strategies1905.03030v2 · Pedro A. Ortega, Jane X. Wang, Mark Rowland et al.2019 · 47 citationsarXiv
Fast deep reinforcement learning using online adjustments from the past1810.08163v1 · Steven Hansen, Pablo Sprechmann, Alexander Pritzel et al.2018 · 24 citationsarXiv
Meta-Learning by the Baldwin Effect1806.07917v2 · Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero et al.2018 · 25 citationsarXiv
Vector-based navigation using grid-like representations in artificial agents.29743670 · Banino, Andrea, Barry, Caswell, Uria, Benigno et al.2018 · 683 citationsNature. 2018;557(7705):429-433
Generative Temporal Models with Spatial Memory for Partially Observed Environments1804.09401v2 · Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols et al.2018 · 15 citationsarXiv
Memory-based Parameter Adaptation1802.10542v1 · Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae et al.2018 · 54 citationsarXiv
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning1707.08475v2 · Irina Higgins, Arka Pal, Andrei A. Rusu et al.2017 · 219 citationsarXiv
Neural Episodic Control1703.01988v1 · Alexander Pritzel, Benigno Uria, Sriram Srinivasan et al.2017 · 213 citationsarXiv
PathNet: Evolution Channels Gradient Descent in Super Neural Networks1701.08734v1 · Chrisantha Fernando, Dylan Banarse, Charles Blundell et al.2017 · 619 citationsarXiv
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles1612.01474v3 · Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell2016 · 3,663 citationsarXiv
Model-Free Episodic Control1606.04460v1 · Charles Blundell, Benigno Uria, Alexander Pritzel et al.2016 · 162 citationsarXivon Valency
Deep Exploration via Bootstrapped DQN1602.04621v3 · Ian Osband, Charles Blundell, Alexander Pritzel et al.2016 · 838 citationsarXiv
Continuous control with deep reinforcement learning1509.02971v6 · Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al.2015 · 10,782 citationsarXiv
Large-N ground state of the Lieb-Liniger model and Yang-Mills theory on a two-sphere1508.01515v2 · Daniel Flassig, Andre Franca, Alexander Pritzel2015 · 19 citationsPhys. Rev. A 93, 013627 (2016)
Topological Model for Domain Walls in (Super-)Yang-Mills Theories1405.4291v1 · Markus Dierigl, Alexander Pritzel2014 · 42 citationsPhys. Rev. D 90, 105008 (2014)
Scrambling in the Black Hole Portrait1307.3458v1 · Gia Dvali, Daniel Flassig, Cesar Gomez et al.2013 · 100 citationsPhys. Rev. D 88, 124041 (2013)
Black Holes and Quantumness on Macroscopic Scales1212.3344v1 · D. Flassig, A. Pritzel, N. Wintergerst2012 · 49 citationsarXiv
Localization of gauge fields and Maxwell-Chern-Simons theory1109.5694v1 · Daniel Flassig, Alexander Pritzel2011 · 3 citationsarXiv
On ghosts in theories of self-interacting massive spin-2 particles1107.3157v2 · Sarah Folkerts, Alexander Pritzel, Nico Wintergerst2011 · 39 citationsarXiv
Career total: 40 works. 33 are in this corpus.
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