Hanno Gottschalk

121 papers A* 1A 5B 6C 4Journal 84Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Design of Ship Propellers using Conditional Flow Matching. CoRR Patrick Krüger, Rafael Diaz, Simon Hauschulz, Stefan Harries, Hanno Gottschalk
2026	J	`jnl`	Generative Inverse Design with Abstention via Diagonal Flow Matching. CoRR Miguel de Campos, Werner Krebs, Hanno Gottschalk
2026	J	`jnl`	How well do generative models solve inverse problems? A benchmark study. CoRR Patrick Krüger, Patrick Materne, Werner Krebs, Hanno Gottschalk
2026	J	`jnl`	Learning Transient Convective Heat Transfer with Geometry Aware World Models. CoRR Onur Tanil Doganay, Alexander Klawonn, Martin Eigel, Hanno Gottschalk
2026	—	`conf`	VideoGAN-Based Trajectory Proposal for Automated Vehicles. ICAART (2) Annajoyce Mariani, Kira Maag, Hanno Gottschalk
2025	J	`jnl`	Adaptive Neural Networks for Intelligent Data-Driven Development. CoRR Youssef Shoeb, Azarm Nowzad, Hanno Gottschalk
2025	J	`jnl`	Consistency of Learned Sparse Grid Quadrature Rules using NeuralODEs. CoRR Hanno Gottschalk, Emil Partow, Tobias Riedlinger
2025	J	`jnl`	Domain Generalization for Semantic Segmentation: A Survey. CoRR Manuel Schwonberg, Hanno Gottschalk
2025	—	`conf`	ECD: Efficient Contrastive Decoding with Probabilistic Hallucination Detection. ECML/PKDD (7) Laura Fieback, Nishilkumar Balar, Jakob Spiegelberg, Hanno Gottschalk
2025	J	`jnl`	Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -. CoRR Laura Fieback, Nishilkumar Balar, Jakob Spiegelberg, Hanno Gottschalk
2025	J	`jnl`	FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering. CoRR Liangyu Zhong, Fabio Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn
2025	J	`jnl`	Generative AI for Autonomous Driving: A Review. CoRR Katharina Winter, Abhishek Vivekanandan, Rupert Polley, Yinzhe Shen, Christian Schlauch, Mohamed-Khalil Bouzidi, Bojan Derajic, Natalie Grabowsky, Annajoyce Mariani, Dennis Rochau, Giovanni Lucente, Harsh Yadav, Firas Mualla, Adam Molin, Sebastian Bernhard, Christian Wirth, Ömer Sahin Tas, Nadja Klein, Fabian B. Flohr, Hanno Gottschalk
2025	J	`jnl`	Learning Brenier Potentials with Convex Generative Adversarial Neural Networks. CoRR Claudia Drygala, Hanno Gottschalk, Thomas Kruse, Ségolène Martin, Annika Mütze
2025	J	`jnl`	Learning to Integrate. CoRR Oliver G. Ernst, Hanno Gottschalk, Toni Kowalewitz, Patrick Krüger
2025	—	`conf`	MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification. VISIGRAPP (2): VISAPP Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk
2025	J	`jnl`	Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration. CoRR Emily C. Ehrhardt, Hanno Gottschalk, Tobias Riedlinger
2025	A	`conf`	On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. ECAI Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk
2025	—	`conf`	Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art. CVPR Workshops Youssef Shoeb, Azarm Nowzad, Hanno Gottschalk
2025	J	`jnl`	Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art. CoRR Youssef Shoeb, Azarm Nowzad, Hanno Gottschalk
2025	J	`jnl`	Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL). CoRR Nihal Acharya Adde, Alexandra Gianzina, Hanno Gottschalk, Andreas Ebert
2025	—	`conf`	Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios. VISIGRAPP (2): VISAPP Youssef Shoeb, Nazir Nayal, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
2025	J	`jnl`	Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection. CoRR Tobias Riedlinger, Kira Maag, Hanno Gottschalk
2025	J	`jnl`	VideoGAN-based Trajectory Proposal for Automated Vehicles. CoRR Annajoyce Mariani, Kira Maag, Hanno Gottschalk
2025	J	`jnl`	When do World Models Successfully Learn Dynamical Systems? CoRR Edmund Ross, Claudia Drygala, Leonhard Schwarz, Samir Kaiser, Francesca di Mare, Tobias Breiten, Hanno Gottschalk
2024	—	`conf`	A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models. BMVC Workshops Manuel Schwonberg, Claus Werner, Hanno Gottschalk, Carsten Meyer
2024	J	`jnl`	A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models. CoRR Manuel Schwonberg, Claus Werner, Hanno Gottschalk, Carsten Meyer
2024	—	`conf`	AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. ECCV Workshops (7) Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rößler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Martin Gontscharow, Hanno Gottschalk, J. Marius Zöllner
2024	J	`jnl`	AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving. CoRR Daniel Bogdoll, Iramm Hamdard, Lukas Namgyu Rößler, Felix Geisler, Muhammed Bayram, Felix Wang, Jan Imhof, Miguel de Campos, Anushervon Tabarov, Yitian Yang, Hanno Gottschalk, J. Marius Zöllner
2024	J	`jnl`	Comparison of Generative Learning Methods for Turbulence Modeling. CoRR Claudia Drygala, Edmund Ross, Francesca di Mare, Hanno Gottschalk
2024	A	`conf`	Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. WACV Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
2024	—	`conf`	Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning. LOD (2) Nihal Acharya Adde, Hanno Gottschalk, Andreas Ebert
2024	J	`jnl`	Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning. CoRR Nihal Acharya Adde, Hanno Gottschalk, Andreas Ebert
2024	J	`jnl`	MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification. CoRR Laura Fieback, Jakob Spiegelberg, Hanno Gottschalk
2024	J	`jnl`	New advances in universal approximation with neural networks of minimal width. CoRR Dennis Rochau, Robin Chan, Hanno Gottschalk
2024	J	`jnl`	On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. CoRR Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk
2024	—	`conf`	ResBuilder: Automated Learning of Depth with Residual Structures. ICANN (1) Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk
2024	J	`jnl`	Segment-Level Road Obstacle Detection Using Visual Foundation Model Priors and Likelihood Ratios. CoRR Youssef Shoeb, Nazir Nayal, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
2024	—	`conf`	Strong but Simple: A Baseline for Domain Generalized Dense Perception by CLIP-Based Transfer Learning. ACCV (10) Christoph Hümmer, Manuel Schwonberg, Liangwei Zhou, Hu Cao, Alois Knoll, Hanno Gottschalk
2024	—	`conf`	Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
2024	—	`conf`	Unsupervised Class Incremental Learning using Empty Classes. BMVC Workshops Svenja Uhlemeyer, Julian Lienen, Youssef Shoeb, Eyke Hüllermeier, Hanno Gottschalk
2024	J	`jnl`	VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection. CoRR Liangyu Zhong, Joachim Sicking, Fabian Hüger, Hanno Gottschalk
2023	C	`conf`	Augmentation-based Domain Generalization for Semantic Segmentation. IV Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
2023	J	`jnl`	Augmentation-based Domain Generalization for Semantic Segmentation. CoRR Manuel Schwonberg, Fadoua El Bouazati, Nico M. Schmidt, Hanno Gottschalk
2023	J	`jnl`	Detecting Novelties with Empty Classes. CoRR Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk
2023	J	`jnl`	Detection of Iterative Adversarial Attacks via Counter Attack. J. Optim. Theory Appl. Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic
2023	J	`jnl`	Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group. CoRR Patrick Krüger, Hanno Gottschalk
2023	J	`jnl`	Generalization capabilities of conditional GAN for turbulent flow under changes of geometry. CoRR Claudia Drygala, Francesca di Mare, Hanno Gottschalk
2023	A	`conf`	Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. WACV Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
2023	J	`jnl`	Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. CoRR Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
2023	B	`conf`	LU-Net: Invertible Neural Networks Based on Matrix Factorization. IJCNN Robin Chan, Sarina Penquitt, Hanno Gottschalk
2023	J	`jnl`	LU-Net: Invertible Neural Networks Based on Matrix Factorization. CoRR Robin Chan, Sarina Penquitt, Hanno Gottschalk
2023	J	`jnl`	Non-convex shape optimization by dissipative Hamiltonian flows. CoRR Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth
2023	J	`jnl`	Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. Int. J. Artif. Intell. Tools Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2023	J	`jnl`	ResBuilder: Automated Learning of Depth with Residual Structures. CoRR Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk
2023	J	`jnl`	Ridepooling and public bus services: A comparative case-study. CoRR Hayk Asatryan, Daniela Gaul, Hanno Gottschalk, Kathrin Klamroth, Michael Stiglmayr
2023	—	`conf`	Risk Stratification of Malignant Melanoma Using Neural Networks. ICANN (4) Julian Burghoff, Leonhard Ackermann, Younes Salahdine, Veronika Bram, Katharina Wunderlich, Julius Balkenhol, Thomas Dirschka, Hanno Gottschalk
2023	J	`jnl`	Risk stratification of malignant melanoma using neural networks. CoRR Julian Burghoff, Leonhard Ackermann, Younes Salahdine, Veronika Bram, Katharina Wunderlich, Julius Balkenhol, Thomas Dirschka, Hanno Gottschalk
2023	—	`conf`	Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness. VISIGRAPP (5: VISAPP) Annika Mütze, Matthias Rottmann, Hanno Gottschalk
2023	J	`jnl`	Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
2023	J	`jnl`	Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
2023	—	`conf`	Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. AALTD@ECML/PKDD Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
2023	J	`jnl`	Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks. CoRR Laura Fieback, Bidya Dash, Jakob Spiegelberg, Hanno Gottschalk
2023	J	`jnl`	VLTSeg: Simple Transfer of CLIP-Based Vision-Language Representations for Domain Generalized Semantic Segmentation. CoRR Christoph Hümmer, Manuel Schwonberg, Liangwei Zhou, Hu Cao, Alois Knoll, Hanno Gottschalk
2023	J	`jnl`	What should AI see? Using the public's opinion to determine the perception of an AI. AI Ethics Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
2023	—	`conf`	Who Breaks Early, Looses: Goal Oriented Training of Deep Neural Networks Based on Port Hamiltonian Dynamics. ICANN (10) Julian Burghoff, Marc Heinrich Monells, Hanno Gottschalk
2023	J	`jnl`	Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics. CoRR Julian Burghoff, Marc Heinrich Monells, Hanno Gottschalk
2023	J	`jnl`	survAIval: Survival Analysis with the Eyes of AI. CoRR Kamil Kowol, Stefan Bracke, Hanno Gottschalk
2022	C	`conf`	A-Eye: Driving with the Eyes of AI for Corner Case Generation. CHIRA Kamil Kowol, Stefan Bracke, Hanno Gottschalk
2022	J	`jnl`	A-Eye: Driving with the Eyes of AI for Corner Case Generation. CoRR Kamil Kowol, Stefan Bracke, Hanno Gottschalk
2022	J	`jnl`	Detecting and Learning the Unknown in Semantic Segmentation. CoRR Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022	J	`jnl`	Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss. CoRR Annika Mütze, Matthias Rottmann, Hanno Gottschalk
2022	J	`jnl`	Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. CoRR Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
2022	J	`jnl`	Towards Unsupervised Open World Semantic Segmentation. CoRR Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022	A	`conf`	Towards unsupervised open world semantic segmentation. UAI Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022	—	`conf`	Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. ACCV (5) Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
2022	J	`jnl`	Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. CoRR Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
2022	J	`jnl`	Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. CoRR Julian Burghoff, Robin Chan, Hanno Gottschalk, Annika Mütze, Tobias Riedlinger, Matthias Rottmann, Marius Schubert
2022	J	`jnl`	What should AI see? Using the Public's Opinion to Determine the Perception of an AI. CoRR Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
2022	—	`conf`	survAIval: Survival Analysis with the Eyes of AI. CHIRA (Revised Selected Papers) Kamil Kowol, Stefan Bracke, Hanno Gottschalk
2021	J	`jnl`	An Analytical Study in Multi-physics and Multi-criteria Shape Optimization. J. Optim. Theory Appl. Hanno Gottschalk, Marco Reese
2021	J	`jnl`	Background-Foreground Segmentation for Interior Sensing in Automotive Industry. CoRR Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel
2021	J	`jnl`	Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance? CoRR Hanno Gottschalk, Matthias Rottmann, Maida Saltagic
2021	A*	`conf`	Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. ICCV Robin Chan, Matthias Rottmann, Hanno Gottschalk
2021	B	`conf`	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. ICTAI Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021	J	`jnl`	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. CoRR Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021	J	`jnl`	Generative Modeling of Turbulence. CoRR Claudia Drygala, Benjamin Winhart, Francesca di Mare, Hanno Gottschalk
2021	J	`jnl`	Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. CoRR Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
2021	B	`conf`	Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. IJCNN Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2021	C	`conf`	MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps. ICPRAM Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2021	J	`jnl`	Spontaneous Wave Formation in Stochastic Self-Driven Particle Systems. SIAM J. Appl. Math. Martin Friesen, Hanno Gottschalk, Barbara Rüdiger, Antoine Tordeux
2021	J	`jnl`	Tracing Locally Pareto-Optimal Points by Numerical Integration. SIAM J. Control. Optim. Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth
2021	—	`conf`	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. ICAART (2) Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
2020	J	`jnl`	A Convenient Infinite Dimensional Framework for Generative Adversarial Learning. CoRR Hayk Asatryan, Hanno Gottschalk, Marieke Lippert, Matthias Rottmann
2020	J	`jnl`	Coarsening in Algebraic Multigrid using Gaussian Processes. CoRR Hanno Gottschalk, Karsten Kahl
2020	B	`conf`	Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. IJCNN Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	A	`conf`	Detection of False Positive and False Negative Samples in Semantic Segmentation. DATE Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	J	`jnl`	Detection of Iterative Adversarial Attacks via Counter Attack. CoRR Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk
2020	J	`jnl`	Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Hanno Gottschalk
2020	J	`jnl`	GivEn - Shape Optimization for Gas Turbines in Volatile Energy Networks. CoRR Jan Backhaus, Matthias Bolten, Onur Tanil Doganay, Matthias Ehrhardt, Benedikt Engel, Christian Frey, Hanno Gottschalk, Michael Günther, Camilla Hahn, Jens Jäschke, Peter Jaksch, Kathrin Klamroth, Alexander Liefke, Daniel Luft, Lucas Mäde, Vincent Marciniak, Marco Reese, Johanna Schultes, Volker Schulz, Sebastian Schmitz, Johannes Steiner, Michael Stiglmayr
2020	J	`jnl`	Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. CoRR Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	J	`jnl`	MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps. CoRR Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2020	B	`conf`	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. IJCNN Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	B	`conf`	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. ICTAI Kira Maag, Matthias Rottmann, Hanno Gottschalk
2020	J	`jnl`	Tracing locally Pareto optimal points by numerical integration. CoRR Matthias Bolten, Onur Tanil Doganay, Hanno Gottschalk, Kathrin Klamroth
2020	J	`jnl`	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. CoRR Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
2019	J	`jnl`	Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	Numerical shape optimization to decrease failure probability of ceramic structures. Comput. Vis. Sci. Matthias Bolten, Hanno Gottschalk, Camilla Hahn, Mohamed Saadi
2019	—	`conf`	The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. CVPR Workshops Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. CoRR Kira Maag, Matthias Rottmann, Hanno Gottschalk
2019	J	`jnl`	Using adjoint CFD to quantify the impact of manufacturing variations on a heavy duty turbine vane. CoRR Alexander Liefke, Vincent Marciniak, Uwe Janoske, Hanno Gottschalk
2018	J	`jnl`	Calibration of léVY Processes using Optimal control of Kolmogorov equations with periodic boundary conditions. Math. Model. Anal. Mario Annunziato, Hanno Gottschalk
2018	—	`conf`	Classification Uncertainty of Deep Neural Networks Based on Gradient Information. ANNPR Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
2018	J	`jnl`	Classification Uncertainty of Deep Neural Networks Based on Gradient Information. CoRR Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
2018	C	`conf`	Deep Bayesian Active Semi-Supervised Learning. ICMLA Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
2018	J	`jnl`	Deep Bayesian Active Semi-Supervised Learning. CoRR Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
2018	J	`jnl`	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. CoRR Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2015	J	`jnl`	Minimal Failure Probability for Ceramic Design Via Shape Control. J. Optim. Theory Appl. Matthias Bolten, Hanno Gottschalk, Sebastian Schmitz
2014	J	`jnl`	Optimal Reliability in Design for Fatigue Life. SIAM J. Control. Optim. Hanno Gottschalk, Sebastian Schmitz