Ferran Alet

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 24

Top Topics

Weather Forecasting

Subgraph Isomorphism

Top Venues

Publications

Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Neural Relational Inference with Fast Modular Meta-learning. CoRR (2023)
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 (2023)
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 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. Int. J. Robotics Res. 41 (7) (2022)
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 (2022)
Lauren Milechin, Javier Lopez-Contreras, Ferran Alet
Efficiently Building a Large Scale Dataset for Program Induction. HPEC (2021)
Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR (2021)
Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
A large-scale benchmark for few-shot program induction and synthesis. ICML (2021)
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)
Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Noether Networks: meta-learning useful conserved quantities. NeurIPS (2021)
Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Meta-learning curiosity algorithms. ICLR (2020)
Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Meta-learning curiosity algorithms. CoRR (2020)
Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR (2020)
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)
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)
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 (2019)
Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Graph Element Networks: adaptive, structured computation and memory. CoRR (2019)
Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Neural Relational Inference with Fast Modular Meta-learning. NeurIPS (2019)
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 Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian J. 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. ICRA (2018)
Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Modular meta-learning. CoRR (2018)
Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Finding Frequent Entities in Continuous Data. CoRR (2018)
Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Modular meta-learning. CoRL (2018)
Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Modular meta-learning in abstract graph networks for combinatorial generalization. CoRR (2018)
Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Finding Frequent Entities in Continuous Data. IJCAI (2018)
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 Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian J. 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 (2017)