Learning Neurosymbolic Generative Models via Program Synthesis

Learning Neurosymbolic Generative Models via Program Synthesis

24 January 2019

Papers citing "Learning Neurosymbolic Generative Models via Program Synthesis"

9 / 9 papers shown

Title
PhotoScout: Synthesis-Powered Multi-Modal Image Search Celeste Barnaby Qiaochu Chen Chenglong Wang Işıl Dillig 48 2 0 19 Jan 2024
Programmatic Concept Learning for Human Motion Description and Synthesis Sumith Kulal Jiayuan Mao A. Aiken Jiajun Wu 33 7 0 27 Jun 2022
Interpreting Expert Annotation Differences in Animal Behavior Megan Tjandrasuwita Jennifer J. Sun Ann Kennedy Swarat Chaudhuri Yisong Yue 19 8 0 11 Jun 2021
Neuro-Symbolic Artificial Intelligence: Current Trends Md Kamruzzaman Sarker Lu Zhou Aaron Eberhart Pascal Hitzler NAI 27 87 0 11 May 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 42 12 0 22 Feb 2021
Neurosymbolic Transformers for Multi-Agent Communication J. Inala Yichen Yang James Paulos Yewen Pu Osbert Bastani Vijay Kumar Martin Rinard Armando Solar-Lezama 32 24 0 05 Jan 2021
Multi-Plane Program Induction with 3D Box Priors Yikai Li Jiayuan Mao Xiuming Zhang Bill Freeman J. Tenenbaum Noah Snavely Jiajun Wu 26 17 0 19 Nov 2020
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 149 43 0 23 Jul 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 33 190 0 15 Jun 2020