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Papers matching “safety learning” 25

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Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jianye Xu, Bassam Alrifaee

0

citations
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange‐Hegermann, Fabian Mies

0

citations
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe

0

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Robust Shielding for Safe Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Edwin Hamel-De le Court, Thom Badings, Alessandro Abate, Francesco Belardinelli, Francesco Fabiano

0

citations
Towards a Practical Understanding of Lagrangian Methods in Safe Reinforcement Learning
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Lindsay Spoor, Álvaro Serra-Gómez, Aske Plaat, Thomas M. Moerland

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
Application of the learning from errors principle in tufting machines
2025 arXiv (Cornell University) preprint Computer Science Augmented Reality Applications Open access

LONGXIANG SHAO, Dominik Hüsener, Michael Schluse, Juergen Rossmann

0

citations
CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Lukas Jäschke, Sebastian Trimpe

0

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Model-Driven Software Engineering Techniques Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
Safe Reinforcement Learning for Real-World Engine Control
2025 SSRN Electronic Journal preprint Computer Science Reinforcement Learning in Robotics Open access

Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert

2

citations
Infinite State Model Checking by Learning Transitive Relations
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Florian Frohn, Jürgen Giesl

1

citations
MultiGML: Multimodal Graph Machine Learning for Prediction of Adverse Drug Events
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access

Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo‐Fernándéz, Ashar Ahmad, Sheraz Gul, +2 more

3

citations
A federated learning approach to data sharing in a food supply chain
2022 Research Square preprint Computer Science Privacy-Preserving Technologies in Data Open access

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Joseph Martin, Rajaram Kaliyaperumal, Johan van Soest, +4 more

5

citations
Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jinghao Pang, Jitai Hao, Qiang Huang, Zhaochun Ren, Jun Yu

0

citations
Evaluation Metrics for Safe Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Lindsay Spoor, Aske Plaat, Thomas M. Moerland

0

citations
A Real-Time Control Barrier Function-Based Safety Filter for Motion Planning with Arbitrary Road Boundary Constraints
2025 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Chang Che, Bassam Alrifaee

0

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Dominik Baumann

0

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

9

citations
Adversarial Examples on Object Recognition: A Comprehensive Survey
2020 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Alex Serban, Erik Poll, Joost Visser

11

citations
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Martin Aubard, László Antal, Ana Maria Madureira, Luís Filipe Teixeira, Erika Ábrahám

0

citations
MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jona te Lintelo, Lichao Wu, Marina Krček, Sengim Karayalçın, Stjepan Picek

0

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
SMILE: Self-Explainable Multimodal Information Bottleneck for Medical Diagnosis
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Yuqing Yang, Alexander Schmatz, Zhaozhao Ma, Changkyu Choi, Robert Jenssen, Shujian Yu

0

citations

25 results