Publications (Computational Statistics and Machine Learning) | Department of Statistics

Publications

Money-Kyrle, S. et al. (2026) “On Improving Graph Neural Networks for QSAR by Pre-training on Extended-Connectivity Fingerprints”, arXiv.

Aminian, G. et al. (2026) “FraudTransformer: Time-Aware GPT for Digital Payment Fraud Detection”, in. Institute of Electrical and Electronics Engineers (IEEE), pp. 850–856.

Clerico, E. et al. (2026) “Time-sensitive anytime-valid testing”, arXiv.

Guizar-Coutiño, A. et al. (2026) “Unobserved confounders cannot explain over-crediting in avoided deforestation carbon projects”, Nature Ecology & Evolution, pp. 1–11.

Ashouritaklimi, K., Cortinovis, S. and Caron, F. (2026) “Robust Bayes-assisted conformal prediction”, in. Proceedings of Machine Learning Research.

Prat, A. et al. (2026) “SigmaDock: Untwisting Molecular Docking with Fragment-Based SE(3) Diffusion”, in.

Sandel, A. et al. (2026) “Lethal conflict after group fission in wild chimpanzees”, Science, 392(6794), pp. 216–220.

Saravanan, A. et al. (2026) “DiffBED: Scaling Bayesian Experimental Design to High-Dimensions”, in.

Elhag, A. et al. (2026) “Learning Inter-Atomic Potentials without Explicit Equivariance”, arXiv.

Barbour, A. and Reinert, G. (2026) “Approximating inter-point distances in directed Bernoulli graphs.”