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Journal Articles
- 2022
[j1]Simon M. Hofmann
, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, Anja Veronica Witte:
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage 261: 119504 (2022)
Conference and Workshop Papers
- 2023
- [c4]Klaus-Robert Müller, Simon M. Hofmann:
Interpreting Deep Learning Models for Multi-modal Neuroimaging. BCI 2023: 1-4 - 2020
- [c3]Ekaterina Sangati, Simon M. Hofmann:
The Role of Co-Representations in Joint Tracking. ALIFE 2020: 526-534 - 2018
- [c2]Simon M. Hofmann, Felix Klotzsche, Alberto Mariola, Vadim V. Nikulin, Arno Villringer, Michael Gaebler:
Decoding Subjective Emotional Arousal during a Naturalistic VR Experience from EEG Using LSTMs. AIVR 2018: 128-131 - [c1]Felix Klotzsche, Alberto Mariola, Simon M. Hofmann, Vadim V. Nikulin, Arno Villringer, Michael Gaebler:
Using EEG to Decode Subjective Levels of Emotional Arousal During an Immersive VR Roller Coaster Ride. VR 2018: 605-606
Informal and Other Publications
- 2025
- [i3]Nahid Torbati, Michael Gaebler, Simon M. Hofmann, Nico Scherf:
Exploring Geometric Representational Alignment through Ollivier-Ricci Curvature and Ricci Flow. CoRR abs/2501.00919 (2025) - 2024
- [i2]Arian Beckmann, Tilman Stephani, Felix Klotzsche, Yonghao Chen, Simon M. Hofmann, Arno Villringer, Michael Gaebler, Vadim V. Nikulin, Sebastian Bosse, Peter Eisert, Anna Hilsmann:
EEG-Features for Generalized Deepfake Detection. CoRR abs/2405.08527 (2024) - [i1]Charlotte Beylier, Simon M. Hofmann, Nico Scherf:
Revealing the learning process in reinforcement learning agents through attention-oriented metrics. CoRR abs/2406.14324 (2024)
Coauthor Index
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