James Requeima
James Requeima
University of Cambridge, Invenia
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
812017
Mapping Gaussian Process Priors to Bayesian Neural Networks
D Flam-Shepherd, J Requeima, D Duvenaud
NIPS Bayesian deep learning workshop, 2017
222017
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
212019
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
92019
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J Bronskill, J Gordon, J Requeima, S Nowozin, RE Turner
arXiv preprint arXiv:2003.03284, 2020
82020
Convolutional Conditional Neural Processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
arXiv preprint arXiv:1910.13556, 2019
82019
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
72019
Convolutional Conditional Neural Processes
J Gordon, W Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
62020
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
32020
Characterizing and Warping the Function space of Bayesian Neural Networks
D Flam-Shepherd, J Requeima, D Duvenaud
2
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
12015
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
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Articles 1–16