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Matching Learned Causal Effects of Neural Networks with Domain Priors

Matching Learned Causal Effects of Neural Networks with Domain Priors

24 November 2021
Sai Srinivas Kancheti
Abbavaram Gowtham Reddy
V. Balasubramanian
Amit Sharma
    CML
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Papers citing "Matching Learned Causal Effects of Neural Networks with Domain Priors"

5 / 5 papers shown
Title
Enhancing the Performance of Neural Networks Through Causal Discovery
  and Integration of Domain Knowledge
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
18
1
0
29 Nov 2023
Towards Learning and Explaining Indirect Causal Effects in Neural
  Networks
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Abbaavaram Gowtham Reddy
Saketh Bachu
Harsh Nilesh Pathak
Ben Godfrey
V. Balasubramanian
V. Varshaneya
Satya Narayanan Kar
CML
26
0
0
24 Mar 2023
Navigating causal deep learning
Navigating causal deep learning
Jeroen Berrevoets
Krzysztof Kacprzyk
Zhaozhi Qian
M. Schaar
CML
11
2
0
01 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
12
17
0
30 Nov 2022
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
219
201
0
06 Jul 2017
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