Abbavaram Gowtham Reddy

Satyanarayan Kar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Inference Using LLM-Guided Discovery.

[BibT_eX]

[DOI]

Aniket Vashishtha

Abhinav Kumar

Saketh Bachu

CoRR, 2023

Rethinking Counterfactual Data Augmentation Under Confounding.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Causal Attributions in Neural Networks: Beyond Direct Effects.

[BibT_eX]

[DOI]

Saketh Bachu

Harsharaj Pathak

Benin L. Godfrey

Varshaneya V

Satya Narayanan Kar

CoRR, 2023

2022

Estimating Treatment Effects using Neurosymbolic Program Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Counterfactual Generation Under Confounding.

[BibT_eX]

[DOI]

Saloni Dash

CoRR, 2022

Matching Learned Causal Effects of Neural Networks with Domain Priors.

[BibT_eX]

[DOI]

Sai Srinivas Kancheti

Proceedings of the International Conference on Machine Learning, 2022

On Causally Disentangled Representations.

[BibT_eX]

[DOI]

Benin Godfrey L

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Causal Regularization Using Domain Priors.

[BibT_eX]

[DOI]

Sai Srinivas Kancheti

CoRR, 2021

Causality in Neural Networks - An Extended Abstract.

[BibT_eX]

[DOI]