Inferring cause and effect in the presence of heteroscedastic noise S Xu, OA Mian, A Marx, J Vreeken
International Conference on Machine Learning, 24615-24630, 2022
12 2022 Causal Inference with Heteroscedastic Noise Models S Xu, A Marx, O Mian, J Vreeken
Proceedings of the AAAI Workshop on Information Theoretic Causal Inference …, 2022
5 2022 Quantum feature embeddings for graph neural networks S Xu, F Wilhelm-Mauch, W Maass
Hawaii International Conference on System Sciences, 2023
3 2023 CD S Xu, J Bauer, B Axmann, W Maass
International Symposium on Visual Computing, 444-457, 2020
3 2020 inSIDE fair dialogues: Assessing and maintaining fairness in human-computer-interaction S Janzen, R Bleymehl, A Alam, S Xu, H Stein
Gesellschaft für Informatik eV, 2018
3 2018 Improving Functional Safety of Automotive Video Data Transmission and Processing Systems M Conrad, F Langner, B Axmann, K Blankenbach, J Bauer, M Vogelmann, ...
Journal of Automotive Software Engineering 2 (1), 15-26, 2021
1 2021 CD2: Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing S Xu, J Bauer, B Axmann
arXiv preprint arXiv:1911.07995, 2019
1 2019 TUCANA: A platform for using local processing power of edge devices for building data-driven services M Pyrtek, S Xu, W Maass
1 2019 Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence S Xu, NP Walter, J Kalofolias, J Vreeken
arXiv preprint arXiv:2402.12930, 2024
2024 Succint Interaction-Aware Explanations S Xu, J Cüppers, J Vreeken
arXiv preprint arXiv:2402.05566, 2024
2024 Characterizing Exceptional Distributions with Neural Rule Extraction S Xu, NP Walter, J Vreeken, J Kalofolias
2023 QUASIM: Quantum computing enhanced service ecosystem for simulation in manufacturing A Agrawal, H Stein, S Xu, S Janzen, W Maass
2023 