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University of Oxford, Department of Statistics logo
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Publications

Sharma, M. et al. (2024) “Incorporating Unlabelled Data into Bayesian Neural Networks”, Transactions on Machine Learning Research, 2024.
Dhillon, G., Deligiannidis, G. and Rainforth, T. (2024) “On the Expected Size of Conformal Prediction Sets”, in Proceedings of Machine Learning Research, pp. 1549–1557.
Campbell, A. et al. (2024) “Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design”, in Proceedings of Machine Learning Research, pp. 5453–5512.
Wilsenach, J. et al. (2024) “Graph models of brain state in deep anaesthesia reveal sink state dynamics of reduced spatiotemporal complexity”, bioRxiv.
Dauncey, S. et al. (2024) “Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection”, Transactions on Machine Learning Research, 2024.
Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, in Proceedings of Machine Learning Research, pp. 5–27.
Clivio, O., Feller, A. and Holmes, C. (2024) “Towards Representation Learning for Weighting Problems in Design-Based Causal Inference”, in Proceedings of Machine Learning Research, pp. 856–880.
Falck, F., Wang, Z. and Holmes, C. (2024) “Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective”, in Proceedings of Machine Learning Research, pp. 12784–12805.
He, Y. et al. (2024) “ROBUST ANGULAR SYNCHRONIZATION VIA DIRECTED GRAPH NEURAL NETWORKS”, in 12th International Conference on Learning Representations Iclr 2024.
Ouyang, R. et al. (2024) “L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders”, in Complex Networks & Their Applications XII. Springer Nature, pp. 400–412.