Incorporating Causal Graphical Prior Knowledge into Predictive Modeling
via Simple Data Augmentation

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Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation

27 February 2021

Takeshi Teshima

Masashi Sugiyama

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Papers citing "Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation"

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Title
Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation Juan Miguel Valverde Maja Østergaard Adrian Rodriguez-Palomo Peter Alling Strange Vibe Nina Kølln Wittig Henrik Birkedal Anders Bjorholm Dahl 55 0 0 07 Mar 2025
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 88 1 0 29 Nov 2023
Toward Falsifying Causal Graphs Using a Permutation-Based Test Elias Eulig Atalanti A. Mastakouri Patrick Blobaum Michael W. Hardt Dominik Janzing 35 13 0 16 May 2023
A Guide for Practical Use of ADMG Causal Data Augmentation Audrey Poinsot Alessandro Leite CML 46 2 0 03 Apr 2023
Causal Deep Learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML AI4CE 67 25 0 03 Mar 2023
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 85 2 0 01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 112 19 0 30 Nov 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen Luyao Tang Feng Liu Gangming Zhao Yue Huang Yizhou Yu 101 32 0 14 Oct 2022