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2210.08185
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GFlowCausal: Generative Flow Networks for Causal Discovery
15 October 2022
Wenqian Li
Yinchuan Li
Shengyu Zhu
Yunfeng Shao
Jianye Hao
Yan Pang
BDL
CML
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Papers citing
"GFlowCausal: Generative Flow Networks for Causal Discovery"
9 / 9 papers shown
Title
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration
Siyi He
57
0
0
01 Oct 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Shuai Wang
David W. Zhang
Jia-Hong Huang
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
60
1
0
22 May 2024
CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning
Andreas Sauter
N. Botteghi
Erman Acar
Aske Plaat
CML
75
4
0
30 Jan 2024
GFlowNets with Human Feedback
Yinchuan Li
Shuang Luo
Yunfeng Shao
Jianye Hao
AI4CE
68
5
0
11 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks
Didi Zhu
Yinchuan Li
Yunfeng Shao
Jianye Hao
Leilei Gan
Kun Kuang
Jun Xiao
Chao Wu
AI4CE
OOD
96
19
0
08 May 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li
Zhigang Li
Wenqian Li
Yunfeng Shao
Yan Zheng
Jianye Hao
81
3
0
24 Apr 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
Wenqian Li
Yinchuan Li
Zhigang Li
Jianye Hao
Yan Pang
144
30
0
04 Mar 2023
CFlowNets: Continuous Control with Generative Flow Networks
Yinchuan Li
Shuang Luo
Haozhi Wang
Jianye Hao
132
23
0
04 Mar 2023
Causal Deep Learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
AI4CE
70
25
0
03 Mar 2023
1