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Tim Wirtz
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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
982018
Distribution of the smallest eigenvalue in the correlated Wishart model
T Wirtz, T Guhr
Physical review letters 111 (9), 094101, 2013
272013
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
262022
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
212014
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
152015
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
152014
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
132015
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
102015
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
102011
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
82016
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
42020
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
32021
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
32021
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
22021
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
22021
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
12021
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
12020
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
12017
Aspects of Spectral Statistics in the Correlated Wishart Model
T Wirtz
Duisburg, Essen, Universität Duisburg-Essen, Diss., 2015, 2015
12015
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
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Artikelen 1–20