Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
---|---|---|
2023 | (Some) efforts towards application driven benchmarks in Germany Lorenz, Jeanette Miriam |
Vortrag Presentation |
2023 | Adaptively Managing Reliability of Machine Learning Perception under Changing Operating Conditions Salvi, Aniket; Weiß, Gereon; Trapp, Mario |
Konferenzbeitrag Conference Paper |
2023 | Addressing uncertainty in the safety assurance of machine-learning Burton, Simon; Herd, Benjamin |
Zeitschriftenaufsatz Journal Article |
2023 | AI for Safety: How to use Explainable Machine Learning Approaches for Safety Analyses Kurzidem, Iwo; Burton, Simon; Schleiß, Philipp |
Konferenzbeitrag Conference Paper |
2023 | Are Transformers More Robust? Towards Exact Robustness Verification for Transformers Liao, Brian Hsuan-Cheng; Cheng, Chih-Hong; Esen, Hasan; Knoll, Alois |
Konferenzbeitrag Conference Paper |
2023 | Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms Zamanian, Alireza; Ahmidi, Narges; Drton, Mathias |
Zeitschriftenaufsatz Journal Article |
2023 | Benchmarking the Variational Quantum Eigensolver using different quantum hardware Bentellis, Amine; Matic-Flierl, Andrea; Mendl, Christian B.; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
2023 | Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection Doan, Nguyen Anh Vu; Yüksel, Arda; Cheng, Chih-Hong |
Konferenzbeitrag Conference Paper |
2023 | Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models? Seferis, Emmanouil; Burton, Simon; Cheng, Chih-Hong |
Vortrag Presentation |
2023 | Closing the gaps: Complexity and uncertainty in the safety assurance and regulation of automated driving Burton, Simon; McDermid, John Alexander |
Paper |
2023 | Complexity, uncertainty and the Safety of ML Burton, Simon; Herd, Benjamin |
Paper |
2023 | Concept Correlation and its Effects on Concept-Based Models Heidemann, Lena; Monnet, Maureen; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | DevOps in Robotics: Challenges and Practices Sawczuk da Silva, Alexandre; Kreutz, Andreas; Weiß, Gereon; Rothe, Johannes; Ihrke, Christoph |
Konferenzbeitrag Conference Paper |
2023 | Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Franco, Nicola; Korth, Daniel; Lorenz, Jeanette Miriam; Roscher, Karsten; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
2023 | Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness Franco, Nicola; Wollschläger, Tom; Günnemann, Stephan; Poggel, Benedikt; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
2023 | Entwicklung und Zertifizierung klinischer KI-Software Ahmidi, Narges; Mareis, Leopold |
Zeitschriftenaufsatz Journal Article |
2023 | EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning Nallapareddy, Monish R.; Sirohi, Kshitij; Drews, Paulo L.J.; Burgard, Wolfram; Cheng, Chih-Hong; Valada, Abhinav |
Konferenzbeitrag Conference Paper |
2023 | Guest Editorial Special Issue on Sensing and Machine Learning for Automotive Perception Santra, Avik; Pandharipande, Ashish; Wang, Pu Perry; Gurbuz, Sevgi Zubeyde; Ibañez-Guzmãn, Javier; Cheng, Chih-Hong; Dauwels, Justin; Li, Guofa |
Editorial |
2023 | Künstliche Intelligenz im Gesundheitswesen Ahmidi, Narges |
Zeitschriftenaufsatz Journal Article |
2023 | Optimizing hyperparameters using the geometric difference Egginger, Sebastian; Sakhnenko, Alona; Runge, Xiomara; Lorenz, Jeanette Miriam |
Poster |
2023 | Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models Haider, Tom; Roscher, Karsten; Schmoeller da Roza, Felippe; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
2023 | Pooling Techniques in Hybrid Quantum-Classical Convolutional Neural Networks Monnet, Maureen; Gebran, Hanady; Matic-Flierl, Andrea; Kiwit, Florian; Schachtner, Balthasar; Bentellis, Amine; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
2023 | Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data Schröder, Maresa; Zamanian, Alireza; Ahmidi, Narges |
Konferenzbeitrag Conference Paper |
2023 | Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles Ayvaz, Utku; Cheng, Chih-Hong; Hao, Shen |
Konferenzbeitrag Conference Paper |
2023 | Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework Schwaiger, Franziska; Matic-Flierl, Andrea; Roscher, Karsten; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
2023 | Proteomics reveals antiviral host response and NETosis during acute COVID-19 in high-risk patients Bauer, Alina; Pachl, Elisabeth; Hellmuth, Johannes C.; Kneidinger, Nikolaus; Motaharehsadat, Heydarian; Frankenberger, Marion; Stubbe, Hans C.; Ryffel, Bernhard; Petrera, Agnese; Hauck, Stefanie M.; Behr, Jürgen; Kaiser, Rainer; Scherer, Clemens; Deng, Li; Teupser, Daniel; Ahmidi, Narges; Muenchhoff, Maximilian; Schubert, Benjamin; Hilgendorff, Anne |
Zeitschriftenaufsatz Journal Article |
2023 | Quantum computing in assistance to solve combinatorial optimization problems Lorenz, Jeanette Miriam |
Vortrag Presentation |
2023 | Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses Winderl, David; Franco, Nicola; Lorenz, Jeanette Miriam |
Paper |
2023 | Quantum Optimization: Potential, Challenges, and the Path Forward Abbas, Amira; Ambainis, Andris; Augustino, Brandon; Bärtschi, Andreas; Buhrman, Harry; Coffrin, Carleton; Cortiana, Giorgio; Dunjko, Vedran; Egger, Daniel J.; Elmegreen, Bruce G.; Fratini, Filippo; Franco, Nicola; Fuller, Bryce; Gacon, Julien; Gonciulea, Constantin; Gribling, Sander; Gupta, Swati; Hadfield, Stuart; Heese, Raoul; Kircher, Gerhard; Kleinert, Thomas; Koch, Thorsten; Korpas, Georgios; Lenk, Steve; Marecek, Jakub; Markov, Vanio; Marecek, Jakub; Mazzola, Guglielmo; Mensa, Stefano; Lenk, Steve; Mohseni, Naeimeh; Nannicini, Giacomo; O’Meara, Corey; Prokutta, Sebastian; Proissel, Manuel; Sahin, Emre; Rebentrost, Patrick; Symons, Benjamin C.B.; Tornow, Sabine; Valls, Victor; Woerner, Stefan; Wolf-Bauwens, Mira L.; Yard, Jon; Zechiel, Dirk; Yarkoni, Sheir; Zhuk, Sergiy; Zoufal, Christa; Peña Tapia, Elena |
Paper |
2023 | Quantum Reinforcement Learning for Aerospace Tandon, Akshat; Dragan, Theodora-Augustina |
Vortrag Presentation |
2023 | Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Architecture and Optimizer Choices Dragan, Theodora-Augustina; Monnet, Maureen; Mendl, Christian B.; Lorenz, Jeanette Miriam |
Vortrag Presentation |
2023 | Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Quantum Architecture Choices Dragan, Theodora-Augustina; Monnet, Maureen; Mendl, Christian B.; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
2023 | Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem Palackal, Lilly; Poggel, Benedikt; Wulff, Matthias; Ehm, Hans; Lorenz, Jeanette Miriam; Mendl, Christian B. |
Konferenzbeitrag Conference Paper |
2023 | Quantum-enhanced AI in medicine Lorenz, Jeanette Miriam |
Vortrag Presentation |
2023 | QuaST - Quantum enabling Services and Tools for industrial applications Lorenz, Jeanette Miriam |
Vortrag Presentation |
2023 | Randomized Smoothing (almost) in Real Time? Seferis, Emmanouil; Kollias, Stefanos; Burton, Simon |
Poster |
2023 | Recommending Solution Paths for Solving Optimization Problems with Quantum Computing Poggel, Benedikt; Quetschlich, Nils; Burgholzer, Lukas; Wille, Robert; Lorenz, Jeanette Miriam |
Konferenzbeitrag Conference Paper |
2023 | Reliability Estimation of ML for Image Perception: A Lightweight Nonlinear Transformation Approach Based on Full Reference Image Quality Metrics Zacchi, Joao-Vitor; Carella, Francesco; Upadhya, Priyank; Zafar, Shanza Ali; Molloy, John; Jöckel, Lisa; Groß, Janek; Mata, Núria; Doan, Nguyen Anh Vu |
Konferenzbeitrag Conference Paper |
2023 | Safe and Efficient Operation with Constrained Hierarchical Reinforcement Learning Schmoeller da Roza, Felippe; Roscher, Karsten; Günnemann, Stephan |
Konferenzbeitrag Conference Paper |
2023 | Safe, Ethical and Sustainable: Framing the Argument McDermid, John Alexander; Porter, Zoe; Burton, Simon |
Konferenzbeitrag Conference Paper |
2023 | Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications Cheng, Chih-Hong; Gupta, Pragya Kirti; Venkataramanan, Venkatesh Prasad; Hsu, Yun-Fei; Burton, Simon |
Konferenzbeitrag Conference Paper |
2023 | SafeSens - Uncertainty Quantification of Complex Perception Systems Kurzidem, Iwo; Burton, Simon; Schleiß, Philipp |
Konferenzbeitrag Conference Paper |
2023 | Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning Eilers, Dirk; Burton, Simon; Schmoeller da Roza, Felippe; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Self-Adaptive Service Deployment for Resilience of Smart Manufacturing Architectures Van, Hoai My; Sawczuk da Silva, Alexandre; Knissel, Tim; Weiß, Gereon |
Konferenzbeitrag Conference Paper |
2023 | Sensing and Machine Learning for Automotive Perception: A Review Pandharipande, Ashish; Cheng, Chih-Hong; Dauwels, Justin; Gurbuz, Sevgi Z.; Ibanez-Guzman, Javier; Li, Guofa; Piazzoni, Andrea; Wang, Pu; Santra, Avik |
Zeitschriftenaufsatz Journal Article |
2023 | Statistical Guarantees for Safe 2D Object Detection Post-processing Seferis, Emmanouil; Burton, Simon; Kollias, Stefanos; Cheng, Chih-Hong |
Vortrag Presentation |
2023 | Statistical Property Testing for Generative Models Seferis, Emmanouil; Burton, Simon; Cheng, Chih-Hong |
Vortrag Presentation |
2023 | The Effect of Data Encoding on Quantum Convolutional Neural Networks Chaabani, Nermine; Dragan, Theodora-Augustina; Lorenz, Jeanette Miriam |
Vortrag Presentation |
2023 | The Path to Safe Machine Learning for Automotive Applications Burton, Simon |
Bericht Report |
2023 | Toward Safe Human Machine Interface and Computer-Aided Diagnostic Systems Hagiwara, Yuki; Espinoza, Delfina; Schleiß, Philipp; Mata, Núria; Doan, Nguyen Anh Vu |
Konferenzbeitrag Conference Paper |
2023 | Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Sinhamahapatra, Poulami; Heidemann, Lena; Monnet, Maureen; Roscher, Karsten |
Vortrag Presentation |
2023 | Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Sinhamahapatra, Poulami; Heidemann, Lena; Monnet, Maureen; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Towards Probabilistic Safety Guarantees for Model-Free Reinforcement Learning Schmoeller da Roza, Felippe; Roscher, Karsten; Günneman, Stephan |
Paper |
2023 | Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents Schmoeller da Roza, Felippe; Hadwiger, Simon; Thorn, Ingo; Roscher, Karsten |
Konferenzbeitrag Conference Paper |
2023 | Towards Uncertainty Reduction Tactics for Behavior Adaptation Kreutz, Andreas; Weiß, Gereon; Trapp, Mario |
Konferenzbeitrag Conference Paper |
2023 | Uncertainty-Aware Hierarchical Reinforcement Learning Robust to Noisy Observations Schmoeller da Roza, Felippe |
Konferenzbeitrag Conference Paper |
2023 | Uncertainty-aware RSS Carella, Francesco; Oleinichenko, Oleg; Schleiß, Philipp |
Paper |
2023 | Verfahren und Vorrichtungen für automatische, kooperative Manöver Häfner, Bernhard; Jiru, Josef; Schepker, Henning F. |
Patent |
2023 | What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification Schröder, Maresa; Zamanian, Alireza; Ahmidi, Narges |
Zeitschriftenaufsatz Journal Article |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica