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MSCT: Addressing Time-Varying Confounding with Marginal Structural
  Causal Transformer for Counterfactual Post-Crash Traffic Prediction

MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction

19 July 2024
Shuang Li
Ziyuan Pu
Nan Zhang
Duxin Chen
Lu Dong
Daniel J. Graham
Yinhai Wang
ArXivPDFHTML

Papers citing "MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction"

3 / 3 papers shown
Title
STGC-GNNs: A GNN-based traffic prediction framework with a
  spatial-temporal Granger causality graph
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
Silu He
Qinyao Luo
Ronghua Du
Ling Zhao
Haifeng Li
33
36
0
30 Oct 2022
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
223
719
0
12 May 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,327
0
28 May 2015
1