Counterfactual Explanations via Riemannian Latent Space Traversal
Fuente:
arXiv
Saved in:
| Main Authors: | Pegios, Paraskevas, Feragen, Aasa, Hansen, Andreas Abildtrup, Arvanitidis, Georgios |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Counterfactual Explainable AI via Latent Space Traversal
by: Hansen, Andreas Abildtrup, et al.
Published: (2025)
by: Hansen, Andreas Abildtrup, et al.
Published: (2025)
Interpreting Equivariant Representations
by: Hansen, Andreas Abildtrup, et al.
Published: (2024)
by: Hansen, Andreas Abildtrup, et al.
Published: (2024)
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
by: Pegios, Paraskevas, et al.
Published: (2024)
by: Pegios, Paraskevas, et al.
Published: (2024)
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
by: Weng, Nina, et al.
Published: (2023)
by: Weng, Nina, et al.
Published: (2023)
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
by: Wong, Chun Kit, et al.
Published: (2025)
by: Wong, Chun Kit, et al.
Published: (2025)
Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)
by: Zepf, Kilian, et al.
Published: (2024)
Don't Stop Me Yet: Sampling Loss Minima via Dissipative Riemannian Mechanics
by: Jacobsen, Albert Kjøller, et al.
Published: (2026)
by: Jacobsen, Albert Kjøller, et al.
Published: (2026)
Patronus: Interpretable Diffusion Models with Prototypes
by: Weng, Nina, et al.
Published: (2025)
by: Weng, Nina, et al.
Published: (2025)
Monge SAM: Robust Reparameterization-Invariant Sharpness-Aware Minimization Based on Loss Geometry
by: Jacobsen, Albert Kjøller, et al.
Published: (2025)
by: Jacobsen, Albert Kjøller, et al.
Published: (2025)
Reducing Memorisation in Generative Models via Riemannian Bayesian Inference
by: Gegenfurtner, Johanna Marie, et al.
Published: (2026)
by: Gegenfurtner, Johanna Marie, et al.
Published: (2026)
Extended Neural Contractive Dynamical Systems: On Multiple Tasks and Riemannian Safety Regions
by: Mohammadi, Hadi Beik, et al.
Published: (2024)
by: Mohammadi, Hadi Beik, et al.
Published: (2024)
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
by: Parikh, Aditya, et al.
Published: (2026)
by: Parikh, Aditya, et al.
Published: (2026)
Are demographically invariant models and representations in medical imaging fair?
by: Petersen, Eike, et al.
Published: (2023)
by: Petersen, Eike, et al.
Published: (2023)
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
by: Yu, Hanlin, et al.
Published: (2025)
by: Yu, Hanlin, et al.
Published: (2025)
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods
by: Olesen, Vincent, et al.
Published: (2024)
by: Olesen, Vincent, et al.
Published: (2024)
Counterfactual Explanations for k-means and Gaussian Clustering
by: Vardakas, Georgios, et al.
Published: (2025)
by: Vardakas, Georgios, et al.
Published: (2025)
Counterfactual Explanations in Medical Imaging: Exploring SPN-Guided Latent Space Manipulation
by: Siekiera, Julia, et al.
Published: (2025)
by: Siekiera, Julia, et al.
Published: (2025)
Learning Geometry and Topology via Multi-Chart Flows
by: Yu, Hanlin, et al.
Published: (2025)
by: Yu, Hanlin, et al.
Published: (2025)
LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations
by: Varshney, Payal, et al.
Published: (2025)
by: Varshney, Payal, et al.
Published: (2025)
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content
by: López-Pérez, Miguel, et al.
Published: (2025)
by: López-Pérez, Miguel, et al.
Published: (2025)
Learning Actionable Counterfactual Explanations in Large State Spaces
by: Naggita, Keziah, et al.
Published: (2024)
by: Naggita, Keziah, et al.
Published: (2024)
Staying on the Manifold: Geometry-Aware Noise Injection
by: Jacobsen, Albert Kjøller, et al.
Published: (2025)
by: Jacobsen, Albert Kjøller, et al.
Published: (2025)
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning
by: Jerge, Michael, et al.
Published: (2026)
by: Jerge, Michael, et al.
Published: (2026)
Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
by: Parikh, Aditya, et al.
Published: (2026)
by: Parikh, Aditya, et al.
Published: (2026)
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
by: Motzkus, Franz, et al.
Published: (2024)
by: Motzkus, Franz, et al.
Published: (2024)
Tabular Diffusion Counterfactual Explanations
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
Graph Diffusion Counterfactual Explanation
by: Bechtoldt, David, et al.
Published: (2025)
by: Bechtoldt, David, et al.
Published: (2025)
Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data
by: Sumiya, Yuta, et al.
Published: (2024)
by: Sumiya, Yuta, et al.
Published: (2024)
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
by: Evangelatos, Spyridon, et al.
Published: (2025)
by: Evangelatos, Spyridon, et al.
Published: (2025)
Watermarking Counterfactual Explanations
by: Guo, Hangzhi, et al.
Published: (2024)
by: Guo, Hangzhi, et al.
Published: (2024)
ACE: Adapting sampling for Counterfactual Explanations
by: Guerrero, Margarita A., et al.
Published: (2025)
by: Guerrero, Margarita A., et al.
Published: (2025)
Optimal Transport Group Counterfactual Explanations
by: Valero-Leal, Enrique, et al.
Published: (2026)
by: Valero-Leal, Enrique, et al.
Published: (2026)
Counterfactual Explanations Under Concept Drift
by: Kostrzewa, Marcin, et al.
Published: (2026)
by: Kostrzewa, Marcin, et al.
Published: (2026)
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
by: Williams, Bernardo, et al.
Published: (2025)
by: Williams, Bernardo, et al.
Published: (2025)
Counterfactual Explanations for Linear Optimization
by: Kurtz, Jannis, et al.
Published: (2024)
by: Kurtz, Jannis, et al.
Published: (2024)
S-CFE: Simple Counterfactual Explanations
by: Sadiku, Shpresim, et al.
Published: (2024)
by: Sadiku, Shpresim, et al.
Published: (2024)
Plausible Counterfactual Explanations of Recommendations
by: Černý, Jakub, et al.
Published: (2025)
by: Černý, Jakub, et al.
Published: (2025)
Procedural Fairness via Group Counterfactual Explanation
by: Popoola, Gideon, et al.
Published: (2026)
by: Popoola, Gideon, et al.
Published: (2026)
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations
by: Artelt, André, et al.
Published: (2024)
by: Artelt, André, et al.
Published: (2024)
CF-OPT: Counterfactual Explanations for Structured Prediction
by: Vivier-Ardisson, Germain, et al.
Published: (2024)
by: Vivier-Ardisson, Germain, et al.
Published: (2024)
Similar Items
-
Graph Counterfactual Explainable AI via Latent Space Traversal
by: Hansen, Andreas Abildtrup, et al.
Published: (2025) -
Interpreting Equivariant Representations
by: Hansen, Andreas Abildtrup, et al.
Published: (2024) -
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
by: Pegios, Paraskevas, et al.
Published: (2024) -
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
by: Weng, Nina, et al.
Published: (2023) -
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
by: Wong, Chun Kit, et al.
Published: (2025)