Publikationen 2023

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; Markov, Vanio; Mazzola, Guglielmo; Mensa, Stefano; Lenk, Steve; Marecek, Jakub; Mohseni, Naeimeh; Nannicini, Giacomo; O’Meara, Corey; Peña Tapia, Elena; Pokutta, Sebastian; Proissl, Manuel; Rebentrost, Patrick; Sahin, Emre; Symons, Benjamin C. B.; Tornow, Sabine; Valls, Víctor; Woerner, Stefan; Wolf-Bauwens, Mira L.; Yard, Jon; Zechiel, Dirk; Yarkoni, Sheir; Zhuk, Sergiy; Zoufal, Christa
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