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ORCIDHannes Stuke
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2020 – today
- 2020
[j4]Pavel Gurevich
, Hannes Stuke:
Gradient conjugate priors and multi-layer neural networks. Artif. Intell. 278 (2020)- [j3]Pavel Gurevich, Hannes Stuke:
Dynamical Systems Approach to Outlier Robust Deep Neural Networks for Regression. SIAM J. Appl. Dyn. Syst. 19(4): 2567-2593 (2020)
2010 – 2019
- 2019
- [j2]Pavel Gurevich, Hannes Stuke:
Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty. Neurocomputing 350: 291-306 (2019) - [i3]Pavel Gurevich, Hannes Stuke:
Robustness Against Outliers For Deep Neural Networks By Gradient Conjugate Priors. CoRR abs/1905.08464 (2019) - 2018
- [i2]Pavel Gurevich, Hannes Stuke:
Gradient conjugate priors and deep neural networks. CoRR abs/1802.02643 (2018) - 2017
- [j1]Heiner Stuke, Hannes Stuke, Veith Andreas Weilnhammer, Katharina Schmack:
Psychotic Experiences and Overhasty Inferences Are Related to Maladaptive Learning. PLoS Comput. Biol. 13(1) (2017) - [i1]Pavel Gurevich, Hannes Stuke:
Learning uncertainty in regression tasks by deep neural networks. CoRR abs/1707.07287 (2017)
2000 – 2009
- 2008
- [c2]Jan Klein, Hannes Stuke, Bram Stieltjes, Olaf Konrad, Horst K. Hahn, Heinz-Otto Peitgen:
Efficient fiber clustering using parameterized polynomials. Image-Guided Procedures 2008: 69182X - [c1]Jan Klein, Hannes Stuke, Jan Rexilius, Bram Stieltjes, Horst K. Hahn, Heinz-Otto Peitgen:
Towards user-independent DTI quantification. Image Processing 2008: 69142E
Coauthor Index
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