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Towards Learning and Explaining Indirect Causal Effects in Neural
  Networks

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

24 March 2023
Abbaavaram Gowtham Reddy
Saketh Bachu
Harsh Nilesh Pathak
Ben Godfrey
V. Balasubramanian
V. Varshaneya
Satya Narayanan Kar
    CML
ArXivPDFHTML

Papers citing "Towards Learning and Explaining Indirect Causal Effects in Neural Networks"

1 / 1 papers shown
Title
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
210
201
0
06 Jul 2017
1