Alet, Ferran

9 publications

ICML 2021 A Large-Scale Benchmark for Few-Shot Program Induction and Synthesis Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell Nye, Armando Solar-Lezama, Tomas Lozano-Perez, Leslie Kaelbling, Joshua Tenenbaum

NeurIPS 2021 Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn

NeurIPS 2021 Tailoring: Encoding Inductive Biases by Optimizing Unsupervised Objectives at Prediction Time Ferran Alet, Maria Bauza, Kenji Kawaguchi, Nurullah Giray Kuru, Tomás Lozano-Pérez, Leslie P. Kaelbling

NeurIPSW 2020 Measuring Few-Shot Extrapolation with Program Induction Ferran Alet, Javier Lopez-Contreras, Joshua B. Tenenbaum, Tomas Perez, Leslie Pack Kaelbling

ICLR 2020 Meta-Learning Curiosity Algorithms Ferran Alet, Martin F. Schneider, Tomas Lozano-Perez, Leslie Pack Kaelbling

ICML 2019 Graph Element Networks: Adaptive, Structured Computation and Memory Ferran Alet, Adarsh Keshav Jeewajee, Maria Bauza Villalonga, Alberto Rodriguez, Tomas Lozano-Perez, Leslie Kaelbling

NeurIPS 2019 Neural Relational Inference with Fast Modular Meta-Learning Ferran Alet, Erica Weng, Tomás Lozano-Pérez, Leslie Pack Kaelbling

IJCAI 2018 Finding Frequent Entities in Continuous Data Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

CoRL 2018 Modular Meta-Learning Ferran Alet, Tomás Lozano-Pérez, Leslie Pack Kaelbling