TY - INPR A1 - Joppich, Philipp A1 - Dorn, Sebastian A1 - De Candido, Oliver A1 - Utschick, Wolfgang A1 - Knollmüller, Jakob T1 - Classification and Uncertainty Quantification of Corrupted Data Using Semi-Supervised Autoencoders KW - Bayesian inference KW - machine learning KW - inverse problems KW - reconstruction problems KW - uncertainty quantification Y1 - 2021 U6 - https://doi.org/10.48550/arXiv.2105.13393 N1 - arXiv.org - Non-exclusive license to distribute (http://arxiv.org/licenses/nonexclusive-distrib/1.0/) N1 - überarbeitete Version 2 des Preprints erschien am 20.04.2023 unter dem Titel "Classification and Uncertainty Quantification of Corrupted Data Using Supervised Autoencoders" (https://arxiv.org/abs/2105.13393v2) IS - v1 PB - arxiv.org ER - TY - INPR A1 - Tang, Yunlei A1 - Dorn, Sebastian A1 - Savani, Chiragkumar T1 - Center3D: Center-Based Monocular 3D Object Detection with Joint Depth Understanding KW - computer vision KW - pattern recognition KW - machine learning Y1 - 2020 U6 - https://doi.org/10.48550/arXiv.2005.13423 N1 - arXiv.org - Non-exclusive license to distribute (https://arxiv.org/licenses/nonexclusive-distrib/1.0) PB - arxiv.org ER - TY - INPR A1 - Geyer, Jakob A1 - Kassahun, Yohannes A1 - Mahmudi, Mentar A1 - Ricou, Xavier A1 - Durgesh, Rupesh A1 - Chung, Andrew S. A1 - Hauswald, Lorenz A1 - Pham, Viet Hoang A1 - Mühlegg, Maximilian A1 - Dorn, Sebastian A1 - Fernandez, Tiffany A1 - Jänicke, Martin A1 - Mirashi, Sudesh A1 - Savani, Chiragkumar A1 - Sturm, Martin A1 - Vorobiov, Oleksandr A1 - Oelker, Martin A1 - Garreis, Sebastian A1 - Schuberth, Peter T1 - A2D2: Audi Autonomous Driving Dataset KW - computer vision KW - pattern recognition KW - machine learning KW - image processing KW - video processing Y1 - 2020 U6 - https://doi.org/10.48550/arXiv.2004.06320 ER - TY - CHAP A1 - Joppich, Philipp A1 - Dorn, Sebastian A1 - De Candido, Oliver A1 - Knollmüller, Jakob A1 - Utschick, Wolfgang T1 - Classification and Uncertainty Quantification of Corrupted Data Using Supervised Autoencoders T2 - Physical Sciences Forum KW - Bayesian inference KW - machine learning KW - inverse problems KW - reconstruction problems KW - uncertainty quantification Y1 - 2022 U6 - https://doi.org/10.3390/psf2022005012 SN - 2673-9984 VL - 5 IS - 2022,1 PB - MDPI ER - TY - JOUR A1 - Studier‑Fischer, Alexander A1 - Seidlitz, Silvia A1 - Sellner, Jan A1 - Özdemir, Berkin A1 - Wiesenfarth, Manuel A1 - Ayala, Leonardo A1 - Odenthal, Jan A1 - Knödler, Samuel A1 - Kowalewski, Karl Friedrich A1 - Haney, Caekan Max A1 - Camplisson, Isabella A1 - Dietrich, Maximilian A1 - Schmidt, Karsten A1 - Salg, Gabriel Alexander A1 - Kenngott, Hannes Götz A1 - Adler, Tim Julian A1 - Schreck, Nicholas T1 - Spectral Organ Fingerprints for Machine Learning-Based Intraoperative Tissue Classification with Hyperspectral Imaging in a Porcine Model JF - Scientific Reports KW - hyperspectral imaging KW - machine learning KW - neural networks Y1 - 2022 U6 - https://doi.org/10.1038/s41598-022-15040-w SN - 2045-2322 IS - 2022,12 ER - TY - INPR A1 - Neumeier, Marion A1 - Tollkühn, Andreas A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Gradient Derivation for Learnable Parameters in Graph Attention Networks KW - machine learning KW - artificial intelligence Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2304.10939 ER - TY - CHAP A1 - Neumeier, Marion A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models T2 - Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops KW - conditioned Vehicle Motion Diffusion (cVMD) KW - machine learning KW - trajectory prediction Y1 - 2024 UR - https://openaccess.thecvf.com/content/CVPR2024W/SAIAD/html/Neumeier_Reliable_Trajectory_Prediction_and_Uncertainty_Quantification_with_Conditioned_Diffusion_Models_CVPRW_2024_paper.html SN - 979-8-3503-6547-4 U6 - https://doi.org/10.1109/CVPRW63382.2024.00350 SN - 2160-7516 N1 - Except for the watermark, thecvf-version is identical to the accepted version; the final published version of the proceedings is available on IEEE Xplore. SP - 3461 EP - 3470 PB - Computer Vision Foundation ER - TY - INPR A1 - Neumeier, Marion A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models KW - conditioned Vehicle Motion Diffusion (cVMD) KW - trajectory prediction KW - machine learning Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2405.14384 N1 - Accepted at IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops (CVPRW) 2024 N1 - Lizenz: http://arxiv.org/licenses/nonexclusive-distrib/1.0/ ER - TY - JOUR A1 - Hummelsberger, Pia A1 - Koch, Timo K. A1 - Rauh, Sabrina A1 - Dorn, Julia A1 - Lermer, Eva A1 - Raue, Martina A1 - Hudecek, Matthias F. C. A1 - Schicho, Andreas A1 - Colak, Errol A1 - Ghassemi, Marzyeh A1 - Gaube, Susanne T1 - Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study JF - JMIR AI KW - artificial intelligence KW - AI KW - machine learning KW - health care KW - digital health technology KW - technology implementation KW - expert interviews Y1 - 2023 U6 - https://doi.org/10.2196/47353 N1 - zugrundeliegendes Preprint: https://opus4.kobv.de/opus4-hs-augsburg/1091 VL - 2 IS - 2023,1 ER - TY - INPR A1 - Hummelsberger, Pia A1 - Koch, Timo K. A1 - Rauh, Sabrina A1 - Dorn, Julia A1 - Lermer, Eva A1 - Raue, Martina A1 - Hudecek, Matthias F. C. A1 - Schicho, Andreas A1 - Colak, Errol A1 - Ghassemi, Marzyeh A1 - Gaube, Susanne T1 - Insights on the Current State and Future Outlook of Artificial Intelligence in Healthcare From Expert Interviews T2 - Journal of Medical Internet Research Preprints KW - artificial intelligence KW - machine learning KW - healthcare KW - digital health technology Y1 - 2023 U6 - https://doi.org/10.2196/preprints.47353 N1 - This is a privileged document currently under peer-review/community review. Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review purposes only. While the final peer-reviewed paper may be licensed under a CC BY license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes. ER -