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Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
Safe and Efficient Operation with Constrained Hierarchical Reinforcement Learning
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
Concept Correlation and its Effects on Concept-Based Models
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution
Towards Probabilistic Safety Guarantees for Model-Free Reinforcement Learning
Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents