Ferran Alet - RankMe

28 papers A* 8A 1Misc 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Probabilistic weather forecasting with machine learning. Nat. Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Tom R. Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi R. Lam, Matthew Willson
2025	J	`jnl`	Skillful joint probabilistic weather forecasting from marginals. CoRR Ferran Alet, Ilan Price, Andrew El-Kadi, Dominic Masters, Stratis Markou, Tom R. Andersson, Jacklynn Stott, Rémi Lam, Matthew Willson, Alvaro Sanchez-Gonzalez, Peter W. Battaglia
2024	J	`jnl`	Functional Risk Minimization. CoRR Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling
2023	J	`jnl`	GenCast: Diffusion-based ensemble forecasting for medium-range weather. CoRR Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi Lam, Matthew Willson
2023	J	`jnl`	Neural Relational Inference with Fast Modular Meta-learning. CoRR Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2022	J	`jnl`	GraphCast: Learning skillful medium-range global weather forecasting. CoRR 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
2022	—	`—`	Learning inside the prediction function Ferran Alet
2022	J	`jnl`	Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching. Int. J. Robotics Res. 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
2021	A*	`conf`	A large-scale benchmark for few-shot program induction and synthesis. ICML Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2021	—	`conf`	Efficiently Building a Large Scale Dataset for Program Induction. HPEC Lauren Milechin, Javier Lopez-Contreras, Ferran Alet
2021	J	`jnl`	Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2021	A*	`conf`	Noether Networks: meta-learning useful conserved quantities. NeurIPS Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2021	A*	`conf`	Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. NeurIPS Ferran Alet, Maria Bauzá, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	A*	`conf`	Meta-learning curiosity algorithms. ICLR Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Meta-learning curiosity algorithms. CoRR Ferran Alet, Martin F. Schneider, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2020	J	`jnl`	Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time. CoRR Ferran Alet, Kenji Kawaguchi, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	A*	`conf`	Graph Element Networks: adaptive, structured computation and memory. ICML Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauzá Villalonga, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	J	`jnl`	Graph Element Networks: adaptive, structured computation and memory. CoRR Ferran Alet, Adarsh K. Jeewajee, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	A*	`conf`	Neural Relational Inference with Fast Modular Meta-learning. NeurIPS Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2019	A	`conf`	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. IROS Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
2019	J	`jnl`	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. CoRR Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez
2018	A*	`conf`	Finding Frequent Entities in Continuous Data. IJCAI Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Finding Frequent Entities in Continuous Data. CoRR Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2018	J	`jnl`	Modular meta-learning in abstract graph networks for combinatorial generalization. CoRR Ferran Alet, Maria Bauzá, Alberto Rodriguez, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	Misc	`conf`	Modular meta-learning. CoRL Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	J	`jnl`	Modular meta-learning. CoRR Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2018	A*	`conf`	Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching. ICRA 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
2017	J	`jnl`	Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching. CoRR 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