Neurosymbolic Grounding for Compositional World Models

Neurosymbolic Grounding for Compositional World Models

19 October 2023

Jennifer J. Sun

Swarat Chaudhuri

Papers citing "Neurosymbolic Grounding for Compositional World Models"

6 / 6 papers shown

Title
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 66 1 0 23 Nov 2024
In-Context Learning Improves Compositional Understanding of Vision-Language Models Matteo Nulli Anesa Ibrahimi Avik Pal Hoshe Lee Ivona Najdenkoska VLM CoGe 30 0 0 22 Jul 2024
Compositional Generative Modeling: A Single Model is Not All You Need Yilun Du L. Kaelbling PINN GAN 49 20 0 02 Feb 2024
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation Renhao Wang Jiayuan Mao Joy Hsu Hang Zhao Jiajun Wu Yang Gao LM&Ro 112 30 0 26 Apr 2023
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 47 59 0 02 Jul 2022
Learning Differentiable Programs with Admissible Neural Heuristics Ameesh Shah Eric Zhan Jennifer J. Sun Abhinav Verma Yisong Yue Swarat Chaudhuri 126 43 0 23 Jul 2020