@article{mahner2024dimensions,title={Dimensions underlying the representational alignment of deep neural networks with humans},author={Mahner, Florian P and Muttenthaler, Lukas and G{\"u}{\c{c}}l{\"u}, Umut and Hebart, Martin N},journal={arXiv preprint arXiv:2406.19087},year={2024},}
2023
CCN
Dimensions that matter: Interpretable object dimensions in humans and deep neural networks
@inproceedings{mahner2023dimensions,title={Dimensions that matter: Interpretable object dimensions in humans and deep neural networks},author={Mahner, Florian P and Muttenthaler, Lukas and G{\"u}{\c{c}}l{\"u}, Umut and Hebart, Martin N},booktitle={Conference on Cognitive Computational Neuroscience},year={2023},publisher={CCN},}
2022
CCN
Learning cortical magnification with brain-optimized convolutional neural networks
@inproceedings{mahner2022learning,title={Learning cortical magnification with brain-optimized convolutional neural networks},author={Mahner, Florian P and Seeliger, Katja and G{\"u}{\c{c}}l{\"u}, Umut and Hebart, Martin N},booktitle={Conference on Cognitive Computational Neuroscience},year={2022},publisher={CCN},}
2020
SciRep
Reliance on model-based and model-free control in obesity
Lieneke K Janssen, Florian P Mahner, Florian Schlagenhauf, Lorenz Deserno, and Annette Horstmann
@article{janssen2020reliance,title={Reliance on model-based and model-free control in obesity},author={Janssen, Lieneke K and Mahner, Florian P and Schlagenhauf, Florian and Deserno, Lorenz and Horstmann, Annette},journal={Scientific reports},volume={10},number={1},pages={22433},year={2020},publisher={Nature Publishing Group UK London},}
2017
ICMLC
Quasi view-independent human motion recognition in subspaces
Pattreeya Tanisaro, Florian P Mahner, and Gunther Heidemann
In Proceedings of the 9th International Conference on Machine Learning and Computing , 2017
@inproceedings{tanisaro2017quasi,title={Quasi view-independent human motion recognition in subspaces},author={Tanisaro, Pattreeya and Mahner, Florian P and Heidemann, Gunther},booktitle={Proceedings of the 9th International Conference on Machine Learning and Computing},pages={278--283},year={2017},}