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Ferran Alet
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2020 – today
- 2023
- [i12]Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Neural Relational Inference with Fast Modular Meta-learning. CoRR abs/2310.07015 (2023) - [i11]Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi Lam, Matthew Willson:
GenCast: Diffusion-based ensemble forecasting for medium-range weather. CoRR abs/2312.15796 (2023) - 2022
- [b1]Ferran Alet:
Learning inside the prediction function. MIT, USA, 2022 - [j1]Andy Zeng
, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois Robert Hogan, Maria Bauzá, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching. Int. J. Robotics Res. 41(7): 690-705 (2022) - [i10]Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia:
GraphCast: Learning skillful medium-range global weather forecasting. CoRR abs/2212.12794 (2022) - 2021
- [c11]Lauren Milechin, Javier Lopez-Contreras, Ferran Alet:
Efficiently Building a Large Scale Dataset for Program Induction. HPEC 2021: 1-7 - [c10]Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama
A large-scale benchmark for few-shot program induction and synthesis. ICML 2021: 175-186 - [c9]Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: meta-learning useful conserved quantities. NeurIPS 2021: 16384-16397 - [c8]Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS 2021: 29206-29217 - [i9]Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR abs/2112.03321 (2021) - 2020
- [c7]Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. ICLR 2020 - [i8]Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Meta-learning curiosity algorithms. CoRR abs/2003.05325 (2020) - [i7]Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR abs/2009.10623 (2020)
2010 – 2019
- 2019
- [c6]Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauzá Villalonga, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. ICML 2019: 212-222 - [c5]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS 2019: 4265-4272 - [c4]Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Neural Relational Inference with Fast Modular Meta-learning. NeurIPS 2019: 11804-11815 - [i6]Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Graph Element Networks: adaptive, structured computation and memory. CoRR abs/1904.09019 (2019) - [i5]Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR abs/1910.00618 (2019) - 2018
- [c3]Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning. CoRL 2018: 856-868 - [c2]Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois Robert Hogan, Maria Bauzá, Daolin Ma
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching. ICRA 2018: 1-8 - [c1]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. IJCAI 2018: 1992-1999 - [i4]Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. CoRR abs/1805.02874 (2018) - [i3]Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning. CoRR abs/1806.10166 (2018) - [i2]Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Modular meta-learning in abstract graph networks for combinatorial generalization. CoRR abs/1812.07768 (2018) - 2017
- [i1]Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois Robert Hogan, Maria Bauzá, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel M. Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian H. Taylor, Weber Liu, Thomas A. Funkhouser, Alberto Rodriguez:
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching. CoRR abs/1710.01330 (2017)
Coauthor Index
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