Quantum machine learning: a classical perspective C Ciliberto, M Herbster, AD Ialongo, M Pontil, A Rocchetto, S Severini, ... Proc. R. Soc. A 474 (2209), 20170551, 2018 | 450 | 2018 |
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models AD Ialongo, M Van Der Wilk, J Hensman, CE Rasmussen International Conference on Machine Learning, 2931-2940, 2019 | 32 | 2019 |
Iterative amortized policy optimization J Marino, A Piché, AD Ialongo, Y Yue Advances in Neural Information Processing Systems 34, 15667-15681, 2021 | 22 | 2021 |
Closed-form Inference and Prediction in Gaussian Process State-Space Models AD Ialongo, M van der Wilk, CE Rasmussen NIPS 2017 Time-Series Workshop, 2017 | 14 | 2017 |
Evaluating model-based planning and planner amortization for continuous control A Byravan, L Hasenclever, P Trochim, M Mirza, AD Ialongo, Y Tassa, ... ICLR 2022, 2022 | 13 | 2022 |
Non-Factorised Variational Inference in Dynamical Systems AD Ialongo, M van der Wilk, J Hensman, CE Rasmussen First Symposium on Approximate Bayesian Inference, 2018 | 6 | 2018 |
Variational Inference in Dynamical Systems AD Ialongo University of Cambridge, 2022 | | 2022 |
Seizure Detection Challenge The Fitzgerald team solution V Adam, J Soldado-Magraner, W Jitkritum, H Strathmann, ... | | 2014 |