Johanna Vielhaben

21 papers C 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models.
CoRR
Nils Neukirch, Johanna Vielhaben, Nils Strodthoff
2025 J jnl
FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models.
Trans. Mach. Learn. Res.
Nils Neukirch, Johanna Vielhaben, Nils Strodthoff
2025 J jnl
Mechanistic understanding and validation of large AI models with SemanticLens.
CoRR
Maximilian Dreyer, Jim Berend, Tobias Labarta, Johanna Vielhaben, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
2024 J jnl
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark.
J. Frankl. Inst.
Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
2024 J jnl
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers.
CoRR
Johanna Vielhaben, Dilyara Bareeva, Jim Berend, Wojciech Samek, Nils Strodthoff
2024 J jnl
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks.
CoRR
Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
2024 J jnl
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks.
Trans. Mach. Learn. Res.
Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff
2024 J jnl
Explainable AI for time series via Virtual Inspection Layers.
Pattern Recognit.
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
2024 — conf
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits.
XAI4CV
Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
2024 J jnl
PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits.
CoRR
Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben, Wojciech Samek, Sebastian Lapuschkin
2023 J jnl
Explainable AI for Time Series via Virtual Inspection Layers.
CoRR
Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek
2023 J jnl
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees.
CoRR
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
2023 J jnl
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees.
Trans. Mach. Learn. Res.
Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff
2023 C conf
XAI-based Comparison of Audio Event Classifiers with different Input Representations.
CBMI
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
2023 J jnl
XAI-based Comparison of Input Representations for Audio Event Classification.
CoRR
Annika Frommholz, Fabian Seipel, Sebastian Lapuschkin, Wojciech Samek, Johanna Vielhaben
2022 J jnl
PredDiff: Explanations and interactions from conditional expectations.
Artif. Intell.
Stefan Blücher, Johanna Vielhaben, Nils Strodthoff
2022 J jnl
Sparse Subspace Clustering for Concept Discovery (SSCCD).
CoRR
Johanna Vielhaben, Stefan Blücher, Nils Strodthoff
2021 J jnl
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks.
CoRR
Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff
2020 J jnl
Generative Neural Samplers for the Quantum Heisenberg Chain.
CoRR
Johanna Vielhaben, Nils Strodthoff
2020 J jnl
USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.
BMC Bioinform.
Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
2019 — conf
Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning.
AIVR
Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel