Chen, X., Liu, R., Gan, Z., & Katz, G. E. (2026). Lipschitz-regularized critic leads to policy robustness against transition dynamics uncertainty. In Proceedings of the 39th Florida Artificial Intelligence Research Society Conference. Preprint available at arXiv:2404.13879.
Liu, R., Qiu, Q., Khan, S., & Katz, G. E. (2025). Linearithmic clean-up for vector-symbolic key-value memory with Kroneker Rotation Products. In Proceedings of the 19th International Conference on Neurosymbolic Learning and Reasoning (Proceedings of Machine Learning Research, Vol. 284, pp. 1107–1118). PMLR.
Liu, R., He, B., Tahir, N., & Katz, G. E. (2024). On the feasibility of single-pass full-capacity learning in linear threshold neurons with binary input vectors. In Proceedings of the 41st International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 235, pp. 31119–31130). PMLR.
Talk at Nanjing University, School of Artificial Intelligence, Nanjing, China (online)