Jonathan Gordon
Jonathan Gordon
OpenAI
Verified email at openai.com - Homepage
Title
Cited by
Cited by
Year
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
1272018
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
692019
Bayesian batch active learning as sparse subset approximation
R Pinsler, J Gordon, E Nalisnick, JM HernŠndez-Lobato
Advances in neural information processing systems 32, 6359-6370, 2019
512019
Probabilistic neural architecture search
FP Casale, J Gordon, N Fusi
arXiv preprint arXiv:1902.05116, 2019
492019
Permutation equivariant models for compositional generalization in language
J Gordon, D Lopez-Paz, M Baroni, D Bouchacourt
International Conference on Learning Representations, 2019
382019
Convolutional conditional neural processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
arXiv preprint arXiv:1910.13556, 2019
362019
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
292020
Bayesian semisupervised learning with deep generative models
J Gordon, JM HernŠndez-Lobato
arXiv preprint arXiv:1706.09751, 2017
202017
Combining deep generative and discriminative models for Bayesian semi-supervised learning
J Gordon, JM HernŠndez-Lobato
Pattern Recognition 100, 107156, 2020
132020
Meta-learning stationary stochastic process prediction with convolutional neural processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
arXiv preprint arXiv:2007.01332, 2020
112020
Insights into amyotrophic lateral sclerosis from a machine learning perspective
J Gordon, B Lerner
Journal of clinical medicine 8 (10), 1578, 2019
52019
Predictive Complexity Priors
E Nalisnick, J Gordon, JM HernŠndez-Lobato
International Conference on Artificial Intelligence and Statistics, 694-702, 2021
42021
VERSA: Versatile and efficient few-shot learning
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Advances in Neural Information Processing Systems, 1-9, 2018
42018
The Gaussian Neural Process
WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner
arXiv preprint arXiv:2101.03606, 2021
32021
Refining the variational posterior through iterative optimization
M Havasi, J Snoek, D Tran, J Gordon, JM HernŠndez-Lobato
22019
Consolidating the Meta-Learning Zoo: A Unifying Perspective as Posterior Predictive Inference
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Workshop on Meta-Learning (MetaLearn 2018) at the 32nd Conference on Neural†…, 2018
22018
Exposing and modeling underlying mechanisms in ALS with machine learning
J Gordon, B Lerner
2016 23rd International Conference on Pattern Recognition (ICPR), 2168-2173, 2016
12016
Probabilistic neural network architecture generation
N Fusi, FP Casale, J Gordon
US Patent App. 16/179,433, 2020
2020
A Machine Learning Analysis of ALS
J GORDON
Ben-Gurion University of the Negev, 2016
2016
Bayesian Deep Generative Models for Semi-Supervised and Active Learning
J Gordon
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