Image de couverture de livre

GenFacts-Generative Counterfactual Explanations for Multi-Variate Time Series

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Seifi, Sarah, Ibrahimi, Anass, Sukianto, Tobias, Carbonelli, Cecilia, Servadei, Lorenzo, Wille, Robert
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
par: Seifi, Sarah, et autres
Publié: (2025)

Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition
par: Seifi, Sarah, et autres
Publié: (2025)

Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI
par: Seifi, Sarah, et autres
Publié: (2024)

TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
par: Huang, Qi, et autres
Publié: (2024)

Motif-guided Time Series Counterfactual Explanations
par: Li, Peiyu, et autres
Publié: (2022)

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks
par: Sponner, Max, et autres
Publié: (2024)

Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
par: Sponner, Max, et autres
Publié: (2024)

What-If Explanations Over Time: Counterfactuals for Time Series Classification
par: Schlegel, Udo, et autres
Publié: (2026)

Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection
par: Srinivasan, Abhishek, et autres
Publié: (2025)

Counterfactual Explanations for Time Series Should be Human-Centered and Temporally Coherent in Interventions
par: Chukwu, Emmanuel C., et autres
Publié: (2025)

Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification
par: Huang, Qi, et autres
Publié: (2024)

EvoMorph: Counterfactual Explanations for Continuous Time-Series Extrinsic Regression Applied to Photoplethysmography
par: Ceylan, Mesut, et autres
Publié: (2026)

Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms
par: Zuin, Gianlucca, et autres
Publié: (2026)

Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
par: Refoyo, Mario, et autres
Publié: (2024)

Calibrated Explanations: with Uncertainty Information and Counterfactuals
par: Lofstrom, Helena, et autres
Publié: (2023)

Counterfactual Explanations for Hypergraph Neural Networks
par: Veglianti, Fabiano, et autres
Publié: (2026)

TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
par: Ma, Hongnan, et autres
Publié: (2025)

One-for-many Counterfactual Explanations by Column Generation
par: Lodi, Andrea, et autres
Publié: (2024)

Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
par: Jiang, Junqi, et autres
Publié: (2025)

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
par: Li, Peiyu, et autres
Publié: (2024)

DoubleGen: Debiased Generative Modeling of Counterfactuals
par: Luedtke, Alex, et autres
Publié: (2025)

Interactive Counterfactual Generation for Univariate Time Series
par: Schlegel, Udo, et autres
Publié: (2024)

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance
par: Sun, Huawei, et autres
Publié: (2024)

Flexible Counterfactual Explanations with Generative Models
par: Hellemans, Stig, et autres
Publié: (2025)

From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
par: Mozolewski, Maciej, et autres
Publié: (2025)

Tabular Diffusion Counterfactual Explanations
par: Zhang, Wei, et autres
Publié: (2025)

Graph Diffusion Counterfactual Explanation
par: Bechtoldt, David, et autres
Publié: (2025)

Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations
par: Ahadian, Pegah, et autres
Publié: (2024)

Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction
par: Patil, Pranjal, et autres
Publié: (2026)

Generating Counterfactual Explanations Using Cardinality Constraints
par: Ruiz-Torrubiano, Rubén
Publié: (2024)

Robust Stochastic Graph Generator for Counterfactual Explanations
par: Prado-Romero, Mario Alfonso, et autres
Publié: (2023)

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
par: Pham, Phuoc, et autres
Publié: (2025)

Watermarking Counterfactual Explanations
par: Guo, Hangzhi, et autres
Publié: (2024)

ACE: Adapting sampling for Counterfactual Explanations
par: Guerrero, Margarita A., et autres
Publié: (2025)

Optimal Transport Group Counterfactual Explanations
par: Valero-Leal, Enrique, et autres
Publié: (2026)

Counterfactual Explanations Under Concept Drift
par: Kostrzewa, Marcin, et autres
Publié: (2026)

Plausible Counterfactual Explanations of Recommendations
par: Černý, Jakub, et autres
Publié: (2025)

Counterfactual Explanations for Linear Optimization
par: Kurtz, Jannis, et autres
Publié: (2024)

S-CFE: Simple Counterfactual Explanations
par: Sadiku, Shpresim, et autres
Publié: (2024)

Generally-Occurring Model Change for Robust Counterfactual Explanations
par: Xu, Ao, et autres
Publié: (2024)