@article{DornRamirezKunzeetal., author = {Dorn, Sebastian and Ramirez, Erandy and Kunze, Kerstin E. and Hofmann, Stefan and Enßlin, Torsten A.}, title = {Generic Inference of Inflation Models by Non-Gaussianity and Primordial Power Spectrum Reconstruction}, series = {Journal of Cosmology and Astroparticle Physics (JCAP)}, volume = {2014}, journal = {Journal of Cosmology and Astroparticle Physics (JCAP)}, number = {2014,06}, publisher = {IOP Publishing}, issn = {1475-7516}, doi = {10.1088/1475-7516/2014/06/048}, language = {en} } @inproceedings{NeumeierDornBotschetal., author = {Neumeier, Marion and Dorn, Sebastian and Botsch, Michael and Utschick, Wolfgang}, title = {Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models}, series = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, publisher = {Computer Vision Foundation}, isbn = {979-8-3503-6547-4}, issn = {2160-7516}, doi = {10.1109/CVPRW63382.2024.00350}, pages = {3461 -- 3470}, language = {en} } @inproceedings{Dorn, author = {Dorn, Sebastian}, title = {Graph-Based Methods for Few-Body Systems [Pr{\"a}sentationsfolien]}, pages = {33}, language = {en} } @inproceedings{NeumeierTollkuehnDornetal., author = {Neumeier, Marion and Tollk{\"u}hn, Andreas and Dorn, Sebastian and Botsch, Michael and Utschick, Wolfgang}, title = {Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications}, series = {2023 IEEE Intelligent Vehicles Symposium (IV)}, booktitle = {2023 IEEE Intelligent Vehicles Symposium (IV)}, isbn = {979-8-3503-4691-6}, issn = {2642-7214}, doi = {10.1109/IV55152.2023.10186536}, pages = {8}, language = {en} } @unpublished{DornRamirezKunzeetal., author = {Dorn, Sebastian and Ramirez, Erandy and Kunze, Kerstin E. and Hofmann, Stefan and Enßlin, Torsten A.}, title = {Generic Inference of Inflation Models by Non-Gaussianity and Primordial Power Spectrum Reconstruction}, publisher = {arxiv.org}, doi = {10.48550/arXiv.1403.5067}, pages = {33}, language = {en} } @unpublished{JoppichDornDeCandidoetal., author = {Joppich, Philipp and Dorn, Sebastian and De Candido, Oliver and Utschick, Wolfgang and Knollm{\"u}ller, Jakob}, title = {Classification and Uncertainty Quantification of Corrupted Data Using Semi-Supervised Autoencoders}, number = {v1}, publisher = {arxiv.org}, doi = {10.48550/arXiv.2105.13393}, pages = {9}, language = {en} } @unpublished{NeumeierTollkuehnDornetal., author = {Neumeier, Marion and Tollk{\"u}hn, Andreas and Dorn, Sebastian and Botsch, Michael and Utschick, Wolfgang}, title = {Gradient Derivation for Learnable Parameters in Graph Attention Networks}, doi = {10.48550/arXiv.2304.10939}, pages = {7}, language = {en} } @unpublished{NeumeierDornBotschetal., author = {Neumeier, Marion and Dorn, Sebastian and Botsch, Michael and Utschick, Wolfgang}, title = {Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models}, doi = {10.48550/arXiv.2405.14384}, pages = {10}, language = {en} } @article{HutschenreuterDornJascheetal., author = {Hutschenreuter, Sebastian and Dorn, Sebastian and Jasche, Jens and Vazza, Franco and Paoletti, Daniela and Lavaux, Guilhem and Enßlin, Torsten A.}, title = {The Primordial Magnetic Field in our Cosmic Backyard}, series = {Classical and Quantum Gravity}, volume = {35}, journal = {Classical and Quantum Gravity}, number = {2018,15}, publisher = {IOP}, issn = {1361-6382}, doi = {10.1088/1361-6382/aacde0}, pages = {25}, language = {en} } @article{PorqueresEnsslinGreineretal., author = {Porqueres, Nat{\`a}lia and Enßlin, Torsten A. and Greiner, Maksim and B{\"o}hm, Vanessa and Dorn, Sebastian and Ruiz-Lapuente, Pilar and Manrique, Alberto}, title = {Cosmic Expansion History from SNe la Data via Information Field Theory: The Charm Code}, series = {Astronomy and Astrophysics}, volume = {599}, journal = {Astronomy and Astrophysics}, number = {2017,March}, publisher = {EDP Sciences}, issn = {0004-6361}, doi = {10.1051/0004-6361/201629527}, pages = {9}, language = {en} }