Deep Backtracking Counterfactuals for Causally Compliant Explanations

11 October 2023

Papers citing "Deep Backtracking Counterfactuals for Causally Compliant Explanations"

7 / 7 papers shown

Title
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 34 0 0 05 May 2025
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 33 5 0 29 Mar 2024
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models Thong Pham Shohei Shimizu H. Hino Tam Le 36 6 0 02 Nov 2023
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 22 16 0 01 Nov 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 17 6 0 26 Sep 2022
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 180 256 0 18 Apr 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 107 87 0 05 Feb 2021