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2020 – today
- 2024
[j6]Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller
, Sebastian Lapuschkin, Wojciech Samek:
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. J. Frankl. Inst. 361(1): 418-428 (2024)- [j5]Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek:
Explainable AI for time series via Virtual Inspection Layers. Pattern Recognit. 150: 110309 (2024) - [j4]Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff:
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. Trans. Mach. Learn. Res. 2024 (2024) - [i8]Stefan Blücher, Johanna Vielhaben, Nils Strodthoff:
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. CoRR abs/2401.06654 (2024) - [i7]Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin:
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits. CoRR abs/2404.06453 (2024) - 2023
- [j3]Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff:
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben:
XAI-based Comparison of Audio Event Classifiers with different Input Representations. CBMI 2023: 126-132 - [i6]Johanna Vielhaben, Stefan Blücher, Nils Strodthoff:
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. CoRR abs/2301.11911 (2023) - [i5]Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek:
Explainable AI for Time Series via Virtual Inspection Layers. CoRR abs/2303.06365 (2023) - [i4]Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben:
XAI-based Comparison of Input Representations for Audio Event Classification. CoRR abs/2304.14019 (2023) - 2022
- [j2]Stefan Blücher, Johanna Vielhaben, Nils Strodthoff:
PredDiff: Explanations and interactions from conditional expectations. Artif. Intell. 312: 103774 (2022) - [i3]Johanna Vielhaben, Stefan Blücher, Nils Strodthoff:
Sparse Subspace Clustering for Concept Discovery (SSCCD). CoRR abs/2203.06043 (2022) - 2021
- [i2]Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff:
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks. CoRR abs/2104.08237 (2021) - 2020
- [j1]Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff:
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction. BMC Bioinform. 21(1): 279 (2020) - [i1]Johanna Vielhaben, Nils Strodthoff:
Generative Neural Samplers for the Quantum Heisenberg Chain. CoRR abs/2012.10264 (2020)
2010 – 2019
- 2019
- [c1]Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel:
Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning. AIVR 2019: 74-81
Coauthor Index
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