Publications
You can also find my articles on my Google Scholar profile
Preprints
Nath, S., Peridis, C., Benjamin, E., Liu, X., Kolouri, S., Kinnell, P., Li, Z., Liu, C., Dora, S. and Soltoggio, A. Collaborative Learning in Agentic Systems: A Collective AI is Greater Than the Sum of Its Parts. arXiv preprint arXiv:2506.05577. (link)
NaderiAlizadeh, N., Salehi, D., Liu, X. and Kolouri, S. Constrained Sliced Wasserstein Embedding. arXiv preprint arXiv:2506.02203. (link)
Bai, Y., Tran, H., Du, H., Liu, X. and Kolouri, S. Fused Partial Gromov-Wasserstein for Structured Objects. arXiv preprint arXiv:2502.09934. (link)
Conference and Journal Publications
Liu, X., Bai, Y., Lu, Y., Soltoggio, A., & Kolouri, S. Wasserstein task embedding for measuring task similarities. Neural Networks, 181, 106796. (link)
Shahbazi, A., Akbari, E., Salehi, D., Liu, X., Naderializadeh, N. and Kolouri, S. ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans. In: The Forty-Second International Conference on Machine Learning (ICML) (link)
Soltoggio, A., Ben-Iwhiwhu, E., Braverman, V., Eaton, E., Epstein, B., Ge, Y., Halperin, L., How, J., Itti, L., Jacobs, M.A. and Kantharaju, P., Liu, X. … A collective AI via lifelong learning and sharing at the edge. Nature Machine Intelligence, 6(3), pp.251-264. (link)
Liu, X., Bai, Y., Martín, R.D., Shi, K., Shahbazi, A., Landman, B.A., Chang, C. and Kolouri, S. Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. In: The Thirteenth International Conference on Learning Representations (ICLR) (link)
Liu, X., Martín, R.D., Bai, Y., Shahbazi, A., Thorpe, M., Aldroubi, A. and Kolouri, S. Expected sliced transport plans. In: The Thirteenth International Conference on Learning Representations (ICLR). (link)
Bai, Y., Martin, R.D., Kothapalli, A., Du, H., Liu, X. and Kolouri, S. Partial Gromov-Wasserstein Metric. In: The Thirteenth International Conference on Learning Representations (ICLR). (link)
Tran, H., Bai, Y., Kothapalli, A., Shahbazi, A., Liu, X., Martin, R.P.D. and Kolouri, S. Stereographic Spherical Sliced Wasserstein Distances. In: The Forty-First International Conference on Machine Learning (ICML) (link)
Liu, X., Lu, Y., Abbasi, A., Li, M., Mohammadi, J. and Kolouri, S. Teaching networks to solve optimization problems. IEEE Access, 12, pp.17102-17113. (link)
Lu, Y., Liu, X., Soltoggio, A. and Kolouri, S. Slosh: Set locality sensitive hashing via sliced-wasserstein embeddings. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2566-2576). (link)
Nath, S., Peridis, C., Ben-Iwhiwhu, E., Liu, X., Dora, S., Liu, C., Kolouri, S. and Soltoggio, A. Sharing lifelong reinforcement learning knowledge via modulating masks. In: Conference on Lifelong Learning Agents (pp. 936-960). PMLR. (link)
Diaz Martin, R., Medri, I., Bai, Y., Liu, X., Yan, K., Rohde, G.K. and Kolouri, S. LCOT: Linear circular optimal transport. In: The Twelfth International Conference on Learning Representations (ICLR) (link)
Refereed Workshop Contributions
Kothapalli, A., Shahbazi, A., Liu, X., Sheng, R. and Kolouri, S., Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification. In: ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling. (link)
Liu, X., Bai, Y., Tran, H., Zhu, Z., Thorpe, M. and Kolouri, S., PTLP: Partial Transport Lp Distances. In: NeurIPS 2023 Workshop Optimal Transport and Machine Learning. (link)