Michal Lewandowski MSc

Researcher and Senior Data Scientist

Publikationen

2024
The Turing Game

Lewandowski, M., Schmid, S. L., Mederitsch, P., Aufreiter, A., Aichinger, G., Nessler, F., Bergsmann, S., Szolga, V., Halmdienst, T., & Nessler, B. (2024). The Turing Game. In The First Workshop on System-2 Reasoning at Scale, NeurIPS'24. Retrieved from https://openreview.net/forum?id=YiquAWqFw3
CantorNet - A Sandbox for Testing Geometrical and Topological Measures

Michal Lewandowski, Hamid Eghbalzadeh, & Bernhard A. Moser (2024). CantorNet: A Sandbox for Testing Topological and Geometrical Measures. In NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations.
2022
Tessellation-Filtering ReLU Neural Networks

Moser, B. A., Lewandowski, M., Kargaran, S., Zellinger, W., Biggio, B., & Koutschan, C. (2022). Tessellation-Filtering ReLU Neural Networks. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
2021
Discrimination properties of binarized relu activations

Lewandowski, M., Zellinger, W., Eghbal-zadeh, H., Shepeleva, N., & Moser, B. A. (2023). On the Discriminability of Samples Using Binarized ReLU Activations. ICDSMLA 2021, 65–71.
2020
Adversarial robustness in data augmentation

Eghbal-zadeh, H., Koutini, K., Haunschmid, V., Primus, P., Lewandowski, M., Zellinger, W., & Widmer, G. (2020) ICLR 2020 Workshop Towards Trustworthy ML: Rethinking Security and Privacy for ML.
ReLU code space: A basis for rating network quality besides accuracy

Shepeleva, Natalia, Zellinger, Werner, Lewandowski, Michal, & Moser, Bernhard. (2020). ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy (Version 1). arXiv.