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Jan Mathias Köhler
Jan Mathias Köhler
Enable AI / Bosch Center for Artificial Intelligence
Verified email at enable-ai.de - Homepage
Title
Cited by
Cited by
Year
The power of ensembles for active learning in image classification
WH Beluch, T Genewein, A Nürnberger, JM Köhler
Proceedings of the IEEE conference on computer vision and pattern …, 2018
4572018
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
WM Gondal, JM Köhler, R Grzeszick, GA Fink, M Hirsch
2017 IEEE international conference on image processing (ICIP), 2069-2073, 2017
1382017
Interpretable and fine-grained visual explanations for convolutional neural networks
J Wagner, JM Kohler, T Gindele, L Hetzel, JT Wiedemer, S Behnke
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1092019
Variational network quantization
J Achterhold, JM Koehler, A Schmeink, T Genewein
International Conference on Learning Representations, 2018
882018
Uncertainty Based Detection and Relabeling of Noisy Image Labels.
JM Köhler, M Autenrieth, WH Beluch
CVPR Workshops, 33-37, 2019
212019
Bounded flexibility in days‐on and days‐off scheduling
JO Brunner, JF Bard, JM Köhler
Naval Research Logistics (NRL) 60 (8), 678-701, 2013
212013
The streaming rollout of deep networks-towards fully model-parallel execution
V Fischer, J Köhler, T Pfeil
Advances in Neural Information Processing Systems 31, 2018
132018
Triggering up states in all-to-all coupled neurons
HVV Ngo, J Köhler, J Mayer, JC Claussen, HG Schuster
EPL (Europhysics Letters) 89 (6), 68002, 2010
102010
Omega-3 Index and obstructive sleep apnea: a cross-sectional study
J Tittus, MT Huber, K Storck, A Köhler, JM Köhler, T von Arnim, ...
Journal of Clinical Sleep Medicine 13 (10), 1131-1136, 2017
52017
Excitation of coherent oscillations in a noisy medium
J Koehler, J Mayer, HG Schuster
Physical Review E 77 (2), 021916, 2008
32008
Dynamical Behavior and Control of Coupled Threshold Elements with Self-Inhibition
HG Schuster, M Le Van Quyen, M Chavez, J Köhler, J Mayer, ...
International Journal of Bifurcation and Chaos 19 (09), 3119-3128, 2009
12009
Operation of trainable modules, including monitoring as to whether the range of application of the training is abandoned
JM Koehler, M Autenrieth, WH Beluch
US Patent App. 17/611,088, 2022
2022
Training trainable modules using learning data, the labels of which are subject to noise
JM Koehler, M Autenrieth, WH Beluch
US Patent App. 17/420,357, 2022
2022
Processing of learning data sets including noisy labels for classifiers
WH Beluch, JM Koehler, M Autenrieth
US Patent App. 17/233,410, 2021
2021
Method and device for ascertaining an explanation map
J Wagner, T Gindele, JM Koehler, JT Wiedemer, L Hetzel
US Patent App. 17/261,758, 2021
2021
Method and device for ascertaining an explanation map
J Wagner, T Gindele, JM Koehler, JT Wiedemer, L Hetzel
US Patent App. 17/261,810, 2021
2021
Method, device and computer program for creating a deep neural network
J Achterhold, JM Koehler, T Genewein
US Patent App. 16/757,186, 2020
2020
Discretization of numerical values with adaptive accuracy
JM Koehler, RM Koehler
US Patent App. 16/689,377, 2020
2020
Method and device for ascertaining a gradient of a data-based function model
M Hanselmann, JM Koehler, H Markert
US Patent 10,402,509, 2019
2019
Flexible days off scheduling: A general approach
J Brunner, JM Köhler
International Annual Scientific Conference of the German Operations Research …, 2011
2011
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