| Fast and flexible multi-task classification using conditional neural adaptive processes J Requeima, J Gordon, J Bronskill, S Nowozin, RE Turner Advances in Neural Information Processing Systems, 7959-7970, 2019 | 216 | 2019 |
| Parallel and distributed Thompson sampling for large-scale accelerated exploration of chemical space JM Hernández-Lobato, J Requeima, EO Pyzer-Knapp, A Aspuru-Guzik Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 169 | 2017 |
| Convolutional Conditional Neural Processes J Gordon, W Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner | 133 | 2020 |
| Convolutional Conditional Neural Processes J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner arXiv preprint arXiv:1910.13556, 2019 | 133 | 2019 |
| Tasknorm: Rethinking batch normalization for meta-learning J Bronskill, J Gordon, J Requeima, S Nowozin, R Turner International Conference on Machine Learning, 1153-1164, 2020 | 96 | 2020 |
| Meta-learning stationary stochastic process prediction with convolutional neural processes A Foong, W Bruinsma, J Gordon, Y Dubois, J Requeima, R Turner Advances in Neural Information Processing Systems 33, 2020 | 53 | 2020 |
| Mapping Gaussian Process Priors to Bayesian Neural Networks D Flam-Shepherd, J Requeima, D Duvenaud NIPS Bayesian deep learning workshop, 2017 | 53 | 2017 |
| The gaussian process autoregressive regression model (gpar) J Requeima, W Tebbutt, W Bruinsma, RE Turner The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 41 | 2019 |
| The Gaussian Neural Process WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner arXiv preprint arXiv:2101.03606, 2021 | 31 | 2021 |
| Characterizing and Warping the Function Space of Bayesian Neural Networks D Flam-Shepherd, J Requeima, D Duvenaud NeurIPS Workshop on Bayesian Deep Learning, 2018 | 11 | 2018 |
| Meta-optimization of optimal power flow M Jamei, L Mones, A Robson, L White, J Requeima, C Ududec ICML Workshop, Climate Change: How Can AI Help, 2019 | 10 | 2019 |
| Multi-scaling of wholesale electricity prices F Caravelli, J Requeima, C Ududec, A Ashtari, T Di Matteo, T Aste arXiv preprint arXiv:1507.06219, 2015 | 1 | 2015 |
| Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes J Requeima, J Gordon, J Bronskill, S Nowozin, RE Turner Advances in Neural Information Processing Systems 32, 7959-7970, 2019 | | 2019 |
| Integrated Predictive Entropy Search for Bayesian Optimization JR Requeima Master's Thesis, 2016 | | 2016 |
| Relative Sectional Curvature in Compact Angled 2-complexes J Requeima McGill University, 2009 | | 2009 |
| Supplementary Material: Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner | | |
| TaskNorm: Rethinking Batch Normalization for Meta-Learning Open Website J Bronskill, J Gordon, J Requeima, S Nowozin, RE Turner | | |
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
