CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests

4 April 2024

Papers citing "CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests"

7 / 7 papers shown

Title
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models Jan Kapar Niklas Koenen Martin Jullum 64 0 0 29 Apr 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 30 2 0 28 Oct 2024
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan S. Pokutta 18 0 0 21 Oct 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Jakub Marecek TPM 63 0 0 25 Jan 2024
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 15 3 0 02 Oct 2023
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 26 15 0 27 Oct 2022
Adversarial random forests for density estimation and generative modeling David S. Watson Kristin Blesch Jan Kapar Marvin N. Wright GAN 46 19 0 19 May 2022