Publications

Chau, S. et al. (2021) “BAYESIMP: Uncertainty Quantification for Causal Data Fusion”, in Advances in Neural Information Processing Systems, pp. 3466–3477.

Camuto, A. et al. (2021) “Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections”, in Proceedings of Machine Learning Research, pp. 1249–1260.

Crook, O., Chung, C.-W. and Deane, C. (2021) “Empirical Bayes functional models for hydrogen deuterium exchange mass spectrometry”, bioRxiv.

Zhu, X. et al. (2021) “Identification of Underlying Disease Domains by Longitudinal Latent Factor Analysis for Secukinumab Treated Patients in Psoriatic Arthritis and Rheumatoid Arthritis Trials”, in ARTHRITIS & RHEUMATOLOGY, pp. 2516–2518.

Smith, T. et al. (2021) “Prior Signal Acquisition Software Versions for Orbitrap Underestimate Low Isobaric Mass Tag Intensities, Without Detriment to Differential Abundance Experiments”, bioRxiv.

Crook, O. et al. (2021) “Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE”, bioRxiv.

Ghalebikesabi, S. et al. (2021) “Deep Generative Missingness Pattern-Set Mixture Models”, in Proceedings of Machine Learning Research, pp. 3727–3735.

Xu, J. et al. (2021) “Group Equivariant Subsampling”, in Advances in Neural Information Processing Systems, pp. 5934–5946.

Hayou, S. et al. (2021) “ROBUST PRUNING AT INITIALIZATION”, in ICLR 2021 - 9th International Conference on Learning Representations.

Ton, J. et al. (2021) “Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings”, in Proceedings of Machine Learning Research, pp. 1099–1107.