Ferran Alet

According to our database, Ferran Alet authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GenCast: Diffusion-based ensemble forecasting for medium-range weather.

Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi Lam, Matthew Willson

CoRR, 2023

2022

Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching.

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

Int. J. Robotics Res., 2022

GraphCast: Learning skillful medium-range global weather forecasting.

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

CoRR, 2022

2021

Noether Networks: meta-learning useful conserved quantities.

Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A large-scale benchmark for few-shot program induction and synthesis.

Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficiently Building a Large Scale Dataset for Program Induction.

Lauren Milechin, Javier Lopez-Contreras, Ferran Alet

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

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

Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRR, 2020

Meta-learning curiosity algorithms.

Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Neural Relational Inference with Fast Modular Meta-learning.

Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Graph Element Networks: adaptive, structured computation and memory.

Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauzá Villalonga, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Modular meta-learning in abstract graph networks for combinatorial generalization.

Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRR, 2018

Finding Frequent Entities in Continuous Data.

Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Modular meta-learning.

Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the 2nd Annual Conference on Robot Learning, 2018