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Johanna Vielhaben
Johanna Vielhaben
Verified email at hhi.fraunhofer.de
Title
Cited by
Cited by
Year
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
J Vielhaben, S Blücher, N Strodthoff
Transactions on Machine Learning Research, 2023
172023
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction
J Vielhaben, M Wenzel, W Samek, N Strodthoff
BMC bioinformatics 21, 1-16, 2020
142020
Explainable ai for time series via virtual inspection layers
J Vielhaben, S Lapuschkin, G Montavon, W Samek
Pattern Recognition, 110309, 2024
102024
PredDiff: Explanations and interactions from conditional expectations
S Blücher, J Vielhaben, N Strodthoff
Artificial Intelligence 312, 103774, 2022
102022
Viewport forecasting in 360 virtual reality videos with machine learning
J Vielhaben, H Camalan, W Samek, M Wenzel
2019 IEEE international conference on artificial intelligence and virtual …, 2019
82019
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark
S Becker, J Vielhaben, M Ackermann, KR Müller, S Lapuschkin, W Samek
Journal of the Franklin Institute 361 (1), 418-428, 2024
62024
Generative neural samplers for the quantum Heisenberg chain
J Vielhaben, N Strodthoff
Physical Review E 103 (6), 063304, 2021
62021
Sparse subspace clustering for concept discovery (SSCCD)
J Vielhaben, S Blücher, N Strodthoff
arXiv preprint arXiv:2203.06043, 2022
52022
XAI-based Comparison of Input Representations for Audio Event Classification
A Frommholz, F Seipel, S Lapuschkin, W Samek, J Vielhaben
arXiv preprint arXiv:2304.14019, 2023
32023
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks
S Blücher, J Vielhaben, N Strodthoff
arXiv preprint arXiv:2401.06654, 2024
22024
Predicting the binding of SARS-CoV-2 peptides to the major histocompatibility complex with recurrent neural networks
J Vielhaben, M Wenzel, E Weicken, N Strodthoff
arXiv preprint arXiv:2104.08237, 2021
12021
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits
M Dreyer, E Purelku, J Vielhaben, W Samek, S Lapuschkin
arXiv preprint arXiv:2404.06453, 2024
2024
XAI-based Comparison of Audio Event Classifiers with different Input Representations
A Frommholz, F Seipel, S Lapuschkin, W Samek, J Vielhaben
Proceedings of the 20th International Conference on Content-based Multimedia …, 2023
2023
Explainable AI for Audio via Virtual Inspection Layers
J Vielhaben, S Lapuschkin, G Montavon, W Samek
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