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Publications

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, 2025(2).
Wirth, L., Aminian, G. and Reinert, G. (2025) “Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance.”
Valsson, Í. et al. (2025) “Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data”, Communications Chemistry, 8(1).
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.
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.
Alfano, C. et al. (2025) “Learning mirror maps in policy mirror descent”, in. International Conference on Learning Representations.
Lo, T., Reinert, G. and Zhang, R. (2025) “Isolated vertices in two duplication-divergence models with edge deletion.”
Johnson, E. et al. (2025) “Stochastic Shortest Path with Sparse Adversarial Costs”, in. Curran Associates, pp. 138390–138431.
Johnson, E. et al. (2025) “On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls”, in. Curran Associates, pp. 45375–45429.