Publications


Peschl, M. F. (2020). Theory U: From potentials and co-becoming to bringing forth emergent innovation and shaping a thriving future ; On what it means to "learn from the future as it emerges". In O. Gunnlaugson, & W. Brendel (Eds.), Individual Approaches in Theory U (Vol. 2, pp. 65-112). Trifoss Business Press. Advances in Presencing Vol. 2

Markham, A., & Grosse-Wentrup, M. (2020). Measurement Dependence Inducing Latent Causal Models. 590-599. Paper presented at Conference on Uncertainty and Artificial Intelligence, Unknown. https://doi.org/10.48550/arXiv.1910.08778

Molnar, C., König, G., Herbinger, J., Freiesleben, T., Dandl, S., Scholbeck, C. A., Casalicchio, G., Grosse-Wentrup, M., & Bischl, B. (2020). Pitfalls to Avoid when Interpreting Machine Learning Models. Paper presented at XXAI: Extending Explainable AI Beyond Deep Models and Classifiers, Wien, Austria. https://doi.org/10.48550/arXiv.2007.04131