Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning

5 October 2023

Papers citing "Learning Concept-Based Causal Transition and Symbolic Reasoning for Visual Planning"

7 / 7 papers shown

Title
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 77 7 0 29 May 2024
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning Shu Wang Muzhi Han Ziyuan Jiao Zeyu Zhang Yingnian Wu Song-Chun Zhu Hangxin Liu LRM 29 32 0 18 Mar 2024
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 36 31 0 30 Apr 2023
Visual Concepts Tokenization Tao Yang Yuwang Wang Yan Lu Nanning Zheng OCL ViT 31 12 0 20 May 2022
Disentangling Visual Embeddings for Attributes and Objects Nirat Saini Khoi Pham Abhinav Shrivastava OCL BDL CoGe 62 61 0 17 May 2022
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 91 26 0 04 Dec 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 178 313 0 07 Feb 2020