1. Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., et al. (2021). A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Information Fusion, 76, 243–297.
2. Amodei, D., Olah, C., Steinhardt, J., Christiano, P. F., Schulman, J., & Mané, D. (2016). Concrete problems in AI safety . http://arxiv.org/abs/1606.06565
3. Bellodi, E., & Riguzzi, F. (2013). Structure learning of probabilistic logic programs by searching the clause space. Theory and Practice of Logic Programming, 15.
4. Besold, T., Garcez, A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., Kühnberger, K.-U., Lamb, L., Lowd, D., Lima, P., de Penning, L., Pinkas, G., Poon, H., & Zaverucha, G. (2017). Neural-symbolic learning and reasoning: A survey and interpretation. http://arxiv.org/abs/1711.03902
5. Blundell, C., Cornebise, J., Kavukcuoglu, K., & Wierstra, D. (2015). Weight uncertainty in neural network. In International conference on machine learning (pp. 1613–1622).