Efficient decentralized deep learning by dynamic model averaging M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel Joint European conference on machine learning and knowledge discovery in …, 2018 | 98 | 2018 |
Distribution of the smallest eigenvalue in the correlated Wishart model T Wirtz, T Guhr Physical review letters 111 (9), 094101, 2013 | 27 | 2013 |
Inspect, understand, overcome: a survey of practical methods for AI safety S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ... Deep Neural Networks and Data for Automated Driving, 3-78, 2022 | 26 | 2022 |
Completing the picture for the smallest eigenvalue of real Wishart matrices G Akemann, T Guhr, M Kieburg, R Wegner, T Wirtz Physical Review Letters 113 (25), 250201, 2014 | 21 | 2014 |
Eigenvalue density of the doubly correlated Wishart model: exact results D Waltner, T Wirtz, T Guhr Journal of Physics A: Mathematical and Theoretical 48 (17), 175204, 2015 | 15 | 2015 |
Distribution of the smallest eigenvalue in complex and real correlated Wishart ensembles T Wirtz, T Guhr Journal of Physics A: Mathematical and Theoretical 47 (7), 075004, 2014 | 15 | 2014 |
The smallest eigenvalue distribution in the real Wishart–Laguerre ensemble with even topology T Wirtz, G Akemann, T Guhr, M Kieburg, R Wegner Journal of Physics A: Mathematical and Theoretical 48 (24), 245202, 2015 | 13 | 2015 |
Limiting statistics of the largest and smallest eigenvalues in the correlated Wishart model T Wirtz, M Kieburg, T Guhr EPL (Europhysics Letters) 109 (2), 20005, 2015 | 10 | 2015 |
Worldsheet operator product expansions and p-point functions in AdS3/CFT2 I Kirsch, T Wirtz Journal of High Energy Physics 2011 (10), 1-20, 2011 | 10 | 2011 |
The correlated Jacobi and the correlated Cauchy–Lorentz ensembles T Wirtz, D Waltner, M Kieburg, S Kumar Journal of Statistical Physics 162 (2), 495-521, 2016 | 8 | 2016 |
Characteristics of monte carlo dropout in wide neural networks J Sicking, M Akila, T Wirtz, S Houben, A Fischer arXiv preprint arXiv:2007.05434, 2020 | 4 | 2020 |
Supporting verification of news articles with automated search for semantically similar articles V Gupta, K Beckh, S Giesselbach, D Wegener, T Wirtz arXiv preprint arXiv:2103.15581, 2021 | 3 | 2021 |
A Novel Regression Loss for Non-Parametric Uncertainty Optimization J Sicking, M Akila, M Pintz, T Wirtz, A Fischer, S Wrobel arXiv preprint arXiv:2101.02726, 2021 | 3 | 2021 |
Validation of simulation-based testing: Bypassing domain shift with label-to-image synthesis J Rosenzweig, E Brito, HU Kobialka, M Akila, NM Schmidt, P Schlicht, ... 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 182-189, 2021 | 2 | 2021 |
Street-map based validation of semantic segmentation in autonomous driving L von Rueden, T Wirtz, F Hueger, JD Schneider, N Piatkowski, ... 2020 25th International Conference on Pattern Recognition (ICPR), 10203-10210, 2021 | 2 | 2021 |
Approaching neural network uncertainty realism J Sicking, A Kister, M Fahrland, S Eickeler, F Hüger, S Rüping, P Schlicht, ... arXiv preprint arXiv:2101.02974, 2021 | 1 | 2021 |
Towards map-based validation of semantic segmentation masks L von Rueden, T Wirtz, F Hueger, JD Schneider, C Bauckhage arXiv preprint arXiv:2011.08008, 2020 | 1 | 2020 |
Asymptotic coincidence of the statistics for degenerate and non-degenerate correlated real Wishart ensembles T Wirtz, M Kieburg, T Guhr Journal of Physics A: Mathematical and Theoretical 50 (23), 235203, 2017 | 1 | 2017 |
Aspects of Spectral Statistics in the Correlated Wishart Model T Wirtz Duisburg, Essen, Universität Duisburg-Essen, Diss., 2015, 2015 | 1 | 2015 |
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety S Rüping, E Schulz, J Sicking, T Wirtz, M Akila, SS Gannamaneni, M Mock, ... Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | | 2022 |