NeurIPS "explainable ai" Papers
12 papers found
$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.
NeurIPS 2025poster
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
Max Moebus, Björn Braun, Christian Holz
NeurIPS 2025poster
Explainably Safe Reinforcement Learning
Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
NeurIPS 2025poster
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching
Zhuo Cao, Xuan Zhao, Lena Krieger et al.
NeurIPS 2025posterarXiv:2510.14623
1
citations
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
NeurIPS 2025poster
Provable Gradient Editing of Deep Neural Networks
Zhe Tao, Aditya V Thakur
NeurIPS 2025spotlight
1
citations
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
Jonggwon Park, Byungmu Yoon, Soobum Kim et al.
NeurIPS 2025posterarXiv:2504.07416
1
citations
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
R. Teal Witter, Yurong Liu, Christopher Musco
NeurIPS 2025posterarXiv:2506.11849
2
citations
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
NeurIPS 2025posterarXiv:2505.23917
SHAP values via sparse Fourier representation
Ali Gorji, Andisheh Amrollahi, Andreas Krause
NeurIPS 2025spotlightarXiv:2410.06300
2
citations
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations
Adrian Hill, Neal McKee, Johannes Maeß et al.
NeurIPS 2025poster
Sound Logical Explanations for Mean Aggregation Graph Neural Networks
Matthew Morris, Ian Horrocks
NeurIPS 2025posterarXiv:2511.11593