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Karsten Roscher
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2020 – today
- 2024
- [c36]Florian Geissler, Karsten Roscher, Mario Trapp:
Concept-Guided LLM Agents for Human-AI Safety Codesign. AAAI Spring Symposia 2024: 100-104 - [c35]Nicola Franco, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Understanding ReLU Network Robustness Through Test Set Certification Performance. CVPR Workshops 2024: 3451-3460 - [c34]Lena Heidemann, Iwo Kurzidem, Maureen Monnet, Karsten Roscher, Stephan Günnemann:
Towards Engineered Safe AI with Modular Concept Models. CVPR Workshops 2024: 3564-3573 - [c33]Tom Haider
, Karsten Roscher
Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems. SAC 2024: 1569-1578 - [i9]Poulami Sinhamahapatra, Suprosanna Shit, Anjany Sekuboyina, Malek El Husseini, David Schinz, Nicolas Lenhart, Bjoern H. Menze, Jan Kirschke, Karsten Roscher, Stephan Günnemann:
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes. CoRR abs/2404.02830 (2024) - [i8]Poulami Sinhamahapatra, Franziska Schwaiger, Shirsha Bose, Huiyu Wang, Karsten Roscher, Stephan Günnemann:
Finding Dino: A plug-and-play framework for unsupervised detection of out-of-distribution objects using prototypes. CoRR abs/2404.07664 (2024) - [i7]Florian Geissler, Karsten Roscher, Mario Trapp:
Concept-Guided LLM Agents for Human-AI Safety Codesign. CoRR abs/2404.15317 (2024) - 2023
- [c32]Dirk Eilers, Simon Burton, Felippe Schmoeller da Roza, Karsten Roscher:
Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning. SafeAI@AAAI 2023 - [c31]Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher:
Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. SafeAI@AAAI 2023 - [c30]Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out Of Distribution. AISafety/SafeRL@IJCAI 2023 - [c29]Tom Haider, Karsten Roscher, Felippe Schmoeller da Roza, Stephan Günnemann:
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. AAMAS 2023: 851-859 - [c28]Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann:
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. IV 2023: 1-8 - [c27]Poulami Sinhamahapatra, Lena Heidemann, Maureen Monnet, Karsten Roscher:
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models. VISIGRAPP (5: VISAPP) 2023: 878-887 - [c26]Lena Heidemann, Maureen Monnet, Karsten Roscher:
Concept Correlation and Its Effects on Concept-Based Models. WACV 2023: 4769-4777 - [i6]Nicola Franco, Daniel Korth, Jeanette Miriam Lorenz, Karsten Roscher, Stephan Günnemann:
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection. CoRR abs/2303.14961 (2023) - [i5]Franziska Schwaiger, Andrea Matic, Karsten Roscher, Stephan Günnemann:
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework. CoRR abs/2307.04533 (2023) - 2022
- [c25]Adrian Schwaiger, Kristian Schwienbacher, Karsten Roscher:
Beyond Test Accuracy: The Effects of Model Compression on CNNs. SafeAI@AAAI 2022 - [c24]Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Günnemann:
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. SafeAI@AAAI 2022 - [c23]Felippe Schmoeller Roza
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning. ICMLA 2022: 737-742 - [i4]Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Günnemann:
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. CoRR abs/2203.08549 (2022) - [i3]Poulami Sinhamahapatra, Lena Heidemann, Maureen Monnet, Karsten Roscher:
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models. CoRR abs/2211.12173 (2022) - 2021
- [c22]Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff:
From Black-box to White-box: Examining Confidence Calibration under different Conditions. SafeAI@AAAI 2021 - [c21]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. BMVC 2021: 209 - [c20]Tom Haider, Felippe Schmoeller Roza, Dirk Eilers, Karsten Roscher, Stephan Günnemann:
Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. AISafety@IJCAI 2021 - [c19]Lena Heidemann, Adrian Schwaiger, Karsten Roscher:
Measuring Ensemble Diversity and Its Effects on Model Robustness. AISafety@IJCAI 2021 - [c18]Patrick Aichroth
SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper. SAMOS 2021: 432-448 - [i2]Franziska Schwaiger, Maximilian Henne, Fabian Küppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff:
From Black-box to White-box: Examining Confidence Calibration under different Conditions. CoRR abs/2101.02971 (2021) - [i1]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. CoRR abs/2107.08976 (2021) - 2020
- [c17]Maximilian Henne, Adrian Schwaiger, Karsten Roscher, Gereon Weiss:
Benchmarking Uncertainty Estimation Methods for Deep Learning With Safety-Related Metrics. SafeAI@AAAI 2020: 83-90 - [c16]Felippe Schmoeller Roza
Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection. ECCV Workshops (6) 2020: 3-10 - [c15]Adrian Schwaiger, Poulami Sinhamahapatra, Jens Gansloser, Karsten Roscher:
Is Uncertainty Quantification in Deep Learning Sufficient for Out-of-Distribution Detection? AISafety@IJCAI 2020 - [c14]Bernhard Häfner
CVIP: A Protocol for Complex Interactions Among Connected Vehicles. IV 2020: 510-515
2010 – 2019
- 2018
- [c13]Oleg Oleinichenko, Yagmur Sevilmis, Karsten Roscher, Josef Jiru:
Time-controlled Neighborhood-driven Policy-based Network Selection Algorithm for Message Dissemination in Hybrid Vehicular Networks. VEHITS 2018: 141-155 - 2017
- [c12]Karsten Roscher, Thomas Nitsche, Rudi Knorr:
Know Thy Neighbor - A Data-Driven Approach to Neighborhood Estimation in VANETs. VTC Fall 2017: 1-5 - 2016
- [c11]Sebastian Bittl, Karsten Roscher:
Efficient Authorization Authority Certificate Distribution in VANETs. ICISSP 2016: 85-96 - [c10]Sebastian Bittl, Karsten Roscher:
Efficient Distribution of Certificate Chains in VANETs. ICISSP (Revised Selected Papers) 2016: 86-107 - [c9]Karsten Roscher, Gerhard Maierbacher:
Reliable message forwarding in VANETs for delay-sensitive applications. ISWCS 2016: 199-203 - [c8]Karsten Roscher, Josef Jiru, Rudi Knorr:
Low-delay forwarding with multiple candidates for VANETs using multi-criteria decision making. VNC 2016: 1-8 - 2015
- [c7]Sebastian Bittl, Berke Aydinli, Karsten Roscher:
Efficient rate-adaptive certificate distribution in VANETs. ISWCS 2015: 371-375 - [c6]Josef Jiru, Aboobeker Sidhik Koyamparambil Mammu, Karsten Roscher:
Adaptive decision algorithms for data aggregation in VANETs with defined channel load limits. Intelligent Vehicles Symposium 2015: 1367-1372 - [c5]Sebastian Bittl, Karsten Roscher, Arturo A. Gonzalez:
Security Overhead and Its Impact in VANETs. WMNC 2015: 192-199 - [c4]Sebastian Bittl, Berke Aydinli, Karsten Roscher:
Distribution of Pseudonym Certificates via Bursts for VANETs with Low and Medium Mobility. WMNC 2015: 227-230 - [c3]Sebastian Bittl, Berke Aydinli, Karsten Roscher:
Effective Certificate Distribution in ETSI ITS VANETs Using Implicit and Explicit Requests. Nets4Cars/Nets4Trains/Nets4Aircraft 2015: 72-83 - 2013
- [c2]Torsten Steiner, Karsten Roscher, Josef Jiru:
Cooperative glare reduction using V2V radio technology. WiVeC 2013: 1-5 - 2012
- [c1]Konstantinos Katsaros, Mehrdad Dianati, Karsten Roscher:
A position-based routing module for simulation of VANETs in ns-3. SimuTools 2012: 345-352
Coauthor Index
aka: Felippe Schmoeller da Roza
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last updated on 2024-10-11 18:22 CEST by the dblp team
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