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GraphCast: Learning skillful medium-range global weather forecasting


Dec 24, 2022
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter Battaglia

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* Main text: 21 pages, 8 figures, 1 table. Appendix: 15 pages, 5 figures, 2 tables 

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Noether Networks: Meta-Learning Useful Conserved Quantities


Dec 06, 2021
Ferran Alet, Dylan Doblar, Allan Zhou, Joshua Tenenbaum, Kenji Kawaguchi, Chelsea Finn

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* Accepted to NeurIPS '21. The first two authors contributed equally 

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Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time


Oct 14, 2020
Ferran Alet, Kenji Kawaguchi, Maria Bauza, Nurullah Giray Kuru, Tomas Lozano-Perez, Leslie Pack Kaelbling

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Meta-learning curiosity algorithms


Mar 11, 2020
Ferran Alet, Martin F. Schneider, Tomas Lozano-Perez, Leslie Pack Kaelbling

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* Published in ICLR 2020 

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Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video


Oct 01, 2019
Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomas Lozano-Perez, Leslie P. Kaelbling, Phillip Isola, Alberto Rodriguez

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* IROS 2019, 8 pages, 7 figures 

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Graph Element Networks: adaptive, structured computation and memory


May 13, 2019
Ferran Alet, Adarsh K. Jeewajee, Maria Bauza, Alberto Rodriguez, Tomas Lozano-Perez, Leslie Pack Kaelbling

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* Accepted to ICML 2019 

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Modular meta-learning in abstract graph networks for combinatorial generalization


Dec 19, 2018
Ferran Alet, Maria Bauza, Alberto Rodriguez, Tomas Lozano-Perez, Leslie P. Kaelbling

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* Presented at NeurIPS meta-learning workshop 2018 

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Modular meta-learning


Jun 26, 2018
Ferran Alet, Tomás Lozano-Pérez, Leslie P. Kaelbling

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Finding Frequent Entities in Continuous Data


May 08, 2018
Ferran Alet, Rohan Chitnis, Leslie P. Kaelbling, Tomas Lozano-Perez

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* IJCAI 2018 

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