Out-of-Distribution Detection using Counterfactual Distance
Fuente:
arXiv
Saved in:
| Main Authors: | Stoica, Maria, Leofante, Francesco, Lomuscio, Alessio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing
by: Stoica, Maria, et al.
Published: (2026)
by: Stoica, Maria, et al.
Published: (2026)
Interval Abstractions for Robust Counterfactual Explanations
by: Jiang, Junqi, et al.
Published: (2024)
by: Jiang, Junqi, et al.
Published: (2024)
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations
by: Marzari, Luca, et al.
Published: (2024)
by: Marzari, Luca, et al.
Published: (2024)
RobustX: Robust Counterfactual Explanations Made Easy
by: Jiang, Junqi, et al.
Published: (2025)
by: Jiang, Junqi, et al.
Published: (2025)
Robust Counterfactual Explanations in Machine Learning: A Survey
by: Jiang, Junqi, et al.
Published: (2024)
by: Jiang, Junqi, et al.
Published: (2024)
Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation
by: Jiang, Junqi, et al.
Published: (2023)
by: Jiang, Junqi, et al.
Published: (2023)
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
by: Brückner, Benedikt, et al.
Published: (2024)
by: Brückner, Benedikt, et al.
Published: (2024)
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
Recourse under Model Multiplicity via Argumentative Ensembling (Technical Report)
by: Jiang, Junqi, et al.
Published: (2023)
by: Jiang, Junqi, et al.
Published: (2023)
Argumentative Ensembling for Robust Recourse under Model Multiplicity
by: Jiang, Junqi, et al.
Published: (2025)
by: Jiang, Junqi, et al.
Published: (2025)
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
by: Cho, Minjae, et al.
Published: (2024)
by: Cho, Minjae, et al.
Published: (2024)
Counterfactual Scenarios for Automated Planning
by: Gigante, Nicola, et al.
Published: (2025)
by: Gigante, Nicola, et al.
Published: (2025)
Evaluating Counterfactual Explanation Methods on Incomplete Inputs
by: Leofante, Francesco, et al.
Published: (2026)
by: Leofante, Francesco, et al.
Published: (2026)
Probabilistic Trust Intervals for Out of Distribution Detection
by: Singh, Gagandeep, et al.
Published: (2021)
by: Singh, Gagandeep, et al.
Published: (2021)
Out-of-Distribution Detection using Synthetic Data Generation
by: Abbas, Momin, et al.
Published: (2025)
by: Abbas, Momin, et al.
Published: (2025)
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence
by: Domnich, Marharyta, et al.
Published: (2024)
by: Domnich, Marharyta, et al.
Published: (2024)
DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
by: Aljaafari, Tala, et al.
Published: (2025)
by: Aljaafari, Tala, et al.
Published: (2025)
Distributional Counterfactual Explanations With Optimal Transport
by: You, Lei, et al.
Published: (2024)
by: You, Lei, et al.
Published: (2024)
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
by: Moriai, Ryo, et al.
Published: (2025)
by: Moriai, Ryo, et al.
Published: (2025)
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
by: Ding, Zhihao, et al.
Published: (2023)
by: Ding, Zhihao, et al.
Published: (2023)
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
by: Azizmalayeri, Mohammad, et al.
Published: (2024)
by: Azizmalayeri, Mohammad, et al.
Published: (2024)
Taming False Positives in Out-of-Distribution Detection with Human Feedback
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
by: Wang, Luzhi, et al.
Published: (2024)
by: Wang, Luzhi, et al.
Published: (2024)
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
by: Peng, Bo, et al.
Published: (2024)
by: Peng, Bo, et al.
Published: (2024)
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
by: Heng, Alvin, et al.
Published: (2024)
by: Heng, Alvin, et al.
Published: (2024)
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
by: Nasvytis, Linas, et al.
Published: (2024)
by: Nasvytis, Linas, et al.
Published: (2024)
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisation
by: Batten, Ben, et al.
Published: (2024)
by: Batten, Ben, et al.
Published: (2024)
Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
by: Yamada, Daisuke, et al.
Published: (2025)
by: Yamada, Daisuke, et al.
Published: (2025)
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)
by: Panda, Deepak Kumar, et al.
Published: (2025)
Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
by: Capelli, Lorenzo, et al.
Published: (2025)
by: Capelli, Lorenzo, et al.
Published: (2025)
Counterfactual Concept Bottleneck Models
by: Dominici, Gabriele, et al.
Published: (2024)
by: Dominici, Gabriele, et al.
Published: (2024)
Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
by: Azad, Tarhib Al, et al.
Published: (2025)
by: Azad, Tarhib Al, et al.
Published: (2025)
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
by: Lee, Heeyoung, et al.
Published: (2024)
by: Lee, Heeyoung, et al.
Published: (2024)
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
by: Dadalto, Eduardo, et al.
Published: (2024)
by: Dadalto, Eduardo, et al.
Published: (2024)
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
by: Sun, Li, et al.
Published: (2026)
by: Sun, Li, et al.
Published: (2026)
Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection
by: Ling, Zhiwei, et al.
Published: (2026)
by: Ling, Zhiwei, et al.
Published: (2026)
Sparsity and Out-of-Distribution Generalization
by: Aaronson, Scott, et al.
Published: (2026)
by: Aaronson, Scott, et al.
Published: (2026)
On the Definition and Detection of Cherry-Picking in Counterfactual Explanations
by: Hinns, James, et al.
Published: (2026)
by: Hinns, James, et al.
Published: (2026)
Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
by: Paqaleh, Mohammad Mahdi Samiei, et al.
Published: (2025)
by: Paqaleh, Mohammad Mahdi Samiei, et al.
Published: (2025)
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
by: Chen, Yuhan, et al.
Published: (2025)
by: Chen, Yuhan, et al.
Published: (2025)
Similar Items
-
A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing
by: Stoica, Maria, et al.
Published: (2026) -
Interval Abstractions for Robust Counterfactual Explanations
by: Jiang, Junqi, et al.
Published: (2024) -
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations
by: Marzari, Luca, et al.
Published: (2024) -
RobustX: Robust Counterfactual Explanations Made Easy
by: Jiang, Junqi, et al.
Published: (2025) -
Robust Counterfactual Explanations in Machine Learning: A Survey
by: Jiang, Junqi, et al.
Published: (2024)