Publications

Lee, J. et al. (2020) “Bootstrapping neural processes”, in Advances in Neural Information Processing Systems.

Ramisch, A. et al. (2020) “Temporal variation of regulatory organization based on longitudinal RNA-seq data in twins”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 729–730.

Jayakumar, S. et al. (2020) “MULTIPLICATIVE INTERACTIONS AND WHERE TO FIND THEM”, in 8th International Conference on Learning Representations, ICLR 2020.

Camuto, A. et al. (2020) “Explicit regularisation in Gaussian noise injections”, in Advances in Neural Information Processing Systems.

Titsias, M. et al. (2020) “FUNCTIONAL REGULARISATION FOR CONTINUAL LEARNING WITH GAUSSIAN PROCESSES”, in 8th International Conference on Learning Representations, ICLR 2020.

Simsekli, U. et al. (2020) “Fractional underdamped langevin dynamics: Retargeting SGD with momentum under heavy-tailed gradient noise”, in 37th International Conference on Machine Learning, ICML 2020, pp. 8917–8927.

Xu, J. et al. (2020) “MetaFun: Meta-learning with iterative functional updates”, in 37th International Conference on Machine Learning, ICML 2020, pp. 10548–10558.

Teh, Y., Dupont, E. and Doucet, A. (2019) “Augmented neural ODEs”, Proceedings of the 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS 2019), 32(2019), pp. 1–11.

Vaškevičius, T., Kanade, V. and Rebeschini, P. (2019) “Implicit regularization for optimal sparse recovery”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Neural Information Processing Systems Foundation, pp. 2968–2979.

Kosiorek, A. et al. (2019) “Stacked capsule autoencoders”, in Advances in Neural Information Processing Systems 32 (NIPS 2019). Nueral Information Processing Systems, p. 15512.