Publications
Ren, K., Trauthwein, T. and Reinert, G. (2025) “Triadic structures in multislice networks.”
Fischer, A., Reinert, G. and Xu, W. (2025) “Stein’s method of moment estimators for local dependency exponential random graph models.”
Wirth, L., Aminian, G. and Reinert, G. (2025) “Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance.”
Dupuis, B. et al. (2025) “Understanding the Generalization Error of Markov algorithms through Poissonization”, arXiv.
Caron, F. et al. (2025) “Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning”, Transactions on Machine Learning Research [Preprint].
Clerico, E., Flynn, H. and Rebeschini, P. (2025) “Uniform mean estimation for monotonic processes”, arXiv.
He, Y. et al. (2025) “Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions”, arXiv.
Alfano, C. et al. (2025) “Learning mirror maps in policy mirror descent”, in. International Conference on Learning Representations.
Emde, C. et al. (2025) “Shh, don’t say that! Domain certification in LLMs”, in Proceedings of the 13th International Conference on Learning Representations (ICLR 2025). OpenReview.
Lo, T., Reinert, G. and Zhang, R. (2025) “Isolated vertices in two duplication-divergence models with edge deletion.”