Publications (Computational Statistics and Machine Learning) Publications Naderiparizi, S. et al. (2019) “Amortized Rejection Sampling in Universal Probabilistic Programming”, arXiv. Naderiparizi, S. et al. (2019) “Amortized Rejection Sampling in Universal Probabilistic Programming”, arXiv. Reinert, G. and Ross, N. (2019) “Approximating stationary distributions of fast mixing Glauber dynamics, with applications to exponential random graphs”, Annals of Applied Probability, 29(5), pp. 3201–3229. BYRNE, H. et al. (2019) “Topology Characterises Tumour Vasculature”, Mathematics Today -Southend on Sea- [Preprint]. Liu, X. et al. (2019) “Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed”, Nature Medicine, 25(10), pp. 1467–1468. Vaškevičius, T., Kanade, V. and Rebeschini, P. (2019) “Implicit Regularization for Optimal Sparse Recovery”, arXiv. Ansari, M. et al. (2019) “Interferon lambda 4 impacts the genetic diversity of hepatitis C virus”, eLife, 8(2019). Bozhilova, L. et al. (2019) “Measuring rank robustness in scored protein interaction networks.”, BMC bioinformatics [Preprint], (1). Bozhilova, L. et al. (2019) “Measuring rank robustness in scored protein interaction networks”, BMC Bioinformatics, 20. Schwessinger, R. et al. (2019) “DeepC: Predicting chromatin interactions using megabase scaled deep neural networks and transfer learning”, p. 724005. Pagination First page First Previous page ‹ … Page 35 Page 36 Page 37 Page 38 Page 39 Page 40 Page 41 Page 42 Page 43 … Next page › Last page Last
