Explainability

Vo-Ve: An Explainable Voice-Vector for Speaker Identity Evaluation Interspeech 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 “What are my options?"€: Explaining RL Agents with Diverse Near-Optimal Alternatives L4DC 2025 Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms PGM 2024 Path Choice Matters for Clear Attributions in Path Methods ICLR 2024 Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning ICLR 2024 Probabilities of Causation for Continuous and Vector Variables UAI 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations ACML 2024 ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023 Explaining RL Decisions with Trajectories ICLR 2023 Explaining Temporal Graph Models through an Explorer-Navigator Framework ICLR 2023 Factual and Informative Review Generation for Explainable Recommendation AAAI 2023 Global Explainability of GNNs via Logic Combination of Learned Concepts ICLR 2023 On the Trade-Off between Actionable Explanations and the Right to be Forgotten ICLR 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Temporal Dependencies in Feature Importance for Time Series Prediction ICLR 2023 Towards Better Explanations for Object Detection ACML 2023 Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes ICLR 2023 Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic ICLR 2023 Actionable Model-Centric Explanations (Student Abstract) AAAI 2022 Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations ICLR 2022 DALE: Differential Accumulated Local Effects for efficient and accurate global explanations ACML 2022 Example or Prototype? Learning Concept-Based Explanations in Time-Series ACML 2022 Explainable Assessment of Healthcare Articles with QA ACL 2022