Johanna Vielhaben

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Occlusion Boundaries

Virtual Reality

Recurrent Neural Networks

Major Histocompatibility Complex

Top Venues

Trans. Mach. Learn. Res.

Pattern Recognit.

Publications

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) (2024)
Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. CoRR (2024)
Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits. CoRR (2024)
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Explainable AI for time series via Virtual Inspection Layers. Pattern Recognit. 150 (2024)
Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. Trans. Mach. Learn. Res. 2024 (2024)
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
XAI-based Comparison of Audio Event Classifiers with different Input Representations. CBMI (2023)
Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. Trans. Mach. Learn. Res. 2023 (2023)
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
Explainable AI for Time Series via Virtual Inspection Layers. CoRR (2023)
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. CoRR (2023)
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
XAI-based Comparison of Input Representations for Audio Event Classification. CoRR (2023)
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
Sparse Subspace Clustering for Concept Discovery (SSCCD). CoRR (2022)
Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
PredDiff: Explanations and interactions from conditional expectations. Artif. Intell. 312 (2022)
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 (2021)
Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction. BMC Bioinform. 21 (1) (2020)
Johanna Vielhaben, Nils Strodthoff
Generative Neural Samplers for the Quantum Heisenberg Chain. CoRR (2020)
Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel
Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning. AIVR (2019)