Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection. - Felippe Schmoeller Roza; Maximilian Henne; Karsten Roscher; Stephan Günnemann (ECCV Workshops (6), 2020)

From Black-box to White-box: Examining Confidence Calibration under different Conditions. - Franziska Schwaiger; Maximilian Henne; Fabian Küppers; Felippe Schmoeller Roza; Karsten Roscher; Anselm Haselhoff (SafeAI@AAAI, 2021)

Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. - Tom Haider; Felippe Schmoeller Roza; Dirk Eilers; Karsten Roscher; Stephan Günnemann (AISafety@IJCAI, 2021)

Uncertainty-Aware Hierarchical Reinforcement Learning Robust to Noisy Observations. - Felippe Schmoeller Roza (FTC (1), 2022)

Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. - Felippe Schmoeller Roza; Hassan Rasheed; Karsten Roscher; Xiangyu Ning; Stephan Günnemann (ICMLA, 2022)

Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning. - Dirk Eilers; Simon Burton 001; Felippe Schmoeller da Roza; Karsten Roscher (SafeAI@AAAI, 2023)

Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. - Felippe Schmoeller Roza; Simon Hadwiger; Ingo Thon; Karsten Roscher (SafeAI@AAAI, 2023)

Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. - Tom Haider; Karsten Roscher; Felippe Schmoeller da Roza; Stephan Günnemann (AAMAS, 2023)

Reinforcement Learning with Ensemble Model Predictive Safety Certification. - Sven Gronauer; Tom Haider; Felippe Schmoeller da Roza; Klaus Diepold (AAMAS, 2024)

Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems. - Tom Haider; Karsten Roscher; Benjamin Herd; Felippe Schmoeller Roza; Simon Burton 001 (SAC, 2024)