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

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

4 April 2024
Susanne Dandl
Kristin Blesch
Timo Freiesleben
Gunnar Konig
Jan Kapar
B. Bischl
Marvin N. Wright
    AAML
ArXivPDFHTML

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

13 / 13 papers shown
Title
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
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
69
4
0
28 Oct 2024
S-CFE: Simple Counterfactual Explanations
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku
Moritz Wagner
Sai Ganesh Nagarajan
Sebastian Pokutta
101
1
0
21 Oct 2024
Generating Likely Counterfactuals Using Sum-Product Networks
Generating Likely Counterfactuals Using Sum-Product Networks
Jiri Nemecek
Tomás Pevný
Georgios Korpas
TPM
91
0
0
25 Jan 2024
Improvement-Focused Causal Recourse (ICR)
Improvement-Focused Causal Recourse (ICR)
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
55
15
0
27 Oct 2022
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
98
681
0
05 Oct 2021
Tabular Data: Deep Learning is Not All You Need
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv
Amitai Armon
LMTD
145
1,256
0
06 Jun 2021
Conditional Generative Models for Counterfactual Explanations
Conditional Generative Models for Counterfactual Explanations
A. V. Looveren
Janis Klaise
G. Vacanti
Oliver Cobb
CML
42
29
0
25 Jan 2021
The Intriguing Relation Between Counterfactual Explanations and
  Adversarial Examples
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
Timo Freiesleben
GAN
79
64
0
11 Sep 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Amir-Hossein Karimi
Bernhard Schölkopf
Isabel Valera
CML
44
340
0
14 Feb 2020
Convex Density Constraints for Computing Plausible Counterfactual
  Explanations
Convex Density Constraints for Computing Plausible Counterfactual Explanations
André Artelt
Barbara Hammer
39
47
0
12 Feb 2020
Towards Realistic Individual Recourse and Actionable Explanations in
  Black-Box Decision Making Systems
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
Shalmali Joshi
Oluwasanmi Koyejo
Warut D. Vijitbenjaronk
Been Kim
Joydeep Ghosh
FaML
58
187
0
22 Jul 2019
Counterfactual Visual Explanations
Counterfactual Visual Explanations
Yash Goyal
Ziyan Wu
Jan Ernst
Dhruv Batra
Devi Parikh
Stefan Lee
CML
73
510
0
16 Apr 2019
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
98
2,348
0
01 Nov 2017
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