Johanna Vielhaben

According to our database, Johanna Vielhaben authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks.

Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff

Trans. Mach. Learn. Res., 2024

Explainable AI for time series via Virtual Inspection Layers.

Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek

Pattern Recognit., 2024

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark.

Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek

J. Frankl. Inst., 2024

PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits.

Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin

CoRR, 2024

2023

Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees.

Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff

Trans. Mach. Learn. Res., 2023

XAI-based Comparison of Input Representations for Audio Event Classification.

Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben

CoRR, 2023

XAI-based Comparison of Audio Event Classifiers with different Input Representations.

Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben

Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022

Sparse Subspace Clustering for Concept Discovery (SSCCD).

Johanna Vielhaben, Stefan Blücher, Nils Strodthoff

CoRR, 2022

PredDiff: Explanations and interactions from conditional expectations.

Stefan Blücher, Johanna Vielhaben, Nils Strodthoff

Artif. Intell., 2022

2021

Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks.

Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff

CoRR, 2021

2020

Generative Neural Samplers for the Quantum Heisenberg Chain.

Johanna Vielhaben, Nils Strodthoff

CoRR, 2020

USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.

Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff

BMC Bioinform., 2020

2019

Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning.

Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel

Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019