Showing 1–18 of 18 results
/ Date/ Name
Jun 7, 2023Faithful Knowledge DistillationFeb 6, 2020Interpretable Goal-based Prediction and Planning for Autonomous DrivingMay 17, 2023Efficient Error Certification for Physics-Informed Neural NetworksFeb 6, 2020A Two-Stage Optimization-based Motion Planner for Safe Urban DrivingOct 20, 2023Segment, Select, Correct: A Framework for Weakly-Supervised Referring SegmentationMar 6, 2025Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety JudgesApr 25, 2024Near to Mid-term Risks and Opportunities of Open-Source Generative AIApr 25, 2023Certifying Ensembles: A General Certification Theory with S-LipschitznessJan 7, 2020PaRoT: A Practical Framework for Robust Deep Neural Network TrainingNov 1, 2020PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous DrivingJun 12, 2024Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language ModelsJul 9, 2021ANCER: Anisotropic Certification via Sample-wise Volume MaximizationJul 22, 2019Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive ArchitectureMay 14, 2024Risks and Opportunities of Open-Source Generative AIOct 14, 2025Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMsAug 5, 2021Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous VehiclesJun 25, 2025The Singapore Consensus on Global AI Safety Research PrioritiesApr 25, 2018Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras