cfaed Publications
Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets
Reference
Daniel Scholz, Oliver Emonds, Felix Kreutz, Pascal Gerhards, Jiaxin Huang, Klaus Knobloch, Alois Knoll, Christian Mayr, "Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets", In Proceeding: 2024 International Conference on Machine Learning and Applications (ICMLA), IEEE, pp. 107–114, Dec 2024. [doi]
Bibtex
@inproceedings{Scholz_2024, title={Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets}, url={http://dx.doi.org/10.1109/ICMLA61862.2024.00021}, DOI={10.1109/icmla61862.2024.00021}, booktitle={2024 International Conference on Machine Learning and Applications (ICMLA)}, publisher={IEEE}, author={Scholz, Daniel and Emonds, Oliver and Kreutz, Felix and Gerhards, Pascal and Huang, Jiaxin and Knobloch, Klaus and Knoll, Alois and Mayr, Christian}, year={2024}, month=Dec, pages={107–114} }
Downloads
No Downloads available for this publication
Permalink
https://cfaed.tu-dresden.de/publications?pubId=3901