University of Oxford, Department of Statistics logo
University of Oxford, Department of Statistics logo
To Department of Statistics Site

Publications

Kosiorek, A. et al. (2019) “Stacked capsule autoencoders”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Nueral Information Processing Systems, pp. 15512 – 15512.
Rao, D. et al. (2019) “Continual unsupervised representation learning”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Conference on Neural Information Processing Systems.
Mathieu, E. et al. (2019) “Continuous hierarchical representations with poincaré Variational Auto-Encoder”, in Advances in Neural Information Processing Systems 32: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Curran Associates, pp. 12521–12532.
Ge, S. et al. (2019) “Random tessellation forests”, in Advances in Neural Information Processing Systems 32: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Curran Associates, pp. 9543–9553.
Foster, A. et al. (2019) “Variational Bayesian optimal experimental design”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Conference on Neural Information Processing Systems.
Foster, A. et al. (2019) “Variational Bayesian optimal experimental design”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Conference on Neural Information Processing Systems.
Locatello, F. et al. (2019) “On the fairness of disentangled representations”, in Advances in Neural Information Processing Systems. NeurIPS.
Foster, A. et al. (2019) “Variational Bayesian Optimal Experimental Design”, in.
Foster, A. et al. (2019) “Variational Bayesian Optimal Experimental Design”, in.
Liu, X. et al. (2019) “Author Correction: Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed”, Nature Medicine, 25(12), pp. 1948–1948.