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2020 – today
- 2023
[c3]Wiebke Günther, Urmi Ninad, Jakob Runge:
Causal Discovery for time series from multiple datasets with latent contexts. UAI 2023: 766-776- 2022
- [c2]Wiebke Günther, Urmi Ninad, Jonas Wahl, Jakob Runge:
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. NeurIPS 2022 - 2020
- [i3]David Mickisch, Felix Assion, Florens Greßner, Wiebke Günther, Mariele Motta:
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study. CoRR abs/2002.01810 (2020) - [i2]Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht:
Risk Assessment for Machine Learning Models. CoRR abs/2011.04328 (2020)
2010 – 2019
- 2019
- [c1]Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed:
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. CVPR Workshops 2019: 1370-1379 - [i1]Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed:
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. CoRR abs/1906.07077 (2019)
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