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Hyunjik Kim
Hyunjik Kim
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Disentangling by factorising
H Kim, A Mnih
Proceedings of the 35rd International Conference on Machine Learning 80 …, 2018
8622018
Attentive neural processes
H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ...
International Conference on Learning Representations (ICLR), 2019
2322019
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
AR Kosiorek, H Kim, I Posner, YW Teh
Advances in Neural Information Processing Systems 31, 8615--8625, 2018
1762018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
H Kim, YW Teh
Proceedings of the Twenty-First International Conference on Artificial …, 2017
402017
Lietransformer: Equivariant self-attention for lie groups
MJ Hutchinson, C Le Lan, S Zaidi, E Dupont, YW Teh, H Kim
International Conference on Machine Learning, 4533-4543, 2021
37*2021
The lipschitz constant of self-attention
H Kim, G Papamakarios, A Mnih
International Conference on Machine Learning, 5562-5571, 2021
342021
Metafun: Meta-learning with iterative functional updates
J Xu, JF Ton, H Kim, A Kosiorek, YW Teh
International Conference on Machine Learning, 10617-10627, 2020
342020
Empirical evaluation of neural process objectives
TA Le, H Kim, M Garnelo, D Rosenbaum, J Schwarz, YW Teh
NeurIPS workshop on Bayesian Deep Learning 4, 2018
232018
Conditional set generation with transformers
AR Kosiorek, H Kim, DJ Rezende
arXiv preprint arXiv:2006.16841, 2020
182020
Meta-learning surrogate models for sequential decision making
A Galashov, J Schwarz, H Kim, M Garnelo, D Saxton, P Kohli, SM Eslami, ...
arXiv preprint arXiv:1903.11907, 2019
182019
Collaborative filtering with side information: A Gaussian process perspective
H Kim, X Lu, S Flaxman, YW Teh
arXiv preprint arXiv:1605.07025, 2016
7*2016
From data to functa: Your data point is a function and you can treat it like one
E Dupont, H Kim, SMA Eslami, DJ Rezende, D Rosenbaum
International Conference on Machine Learning, 5694-5725, 2022
4*2022
Interpretable Models in Probabilistic Machine Learning
H Kim
University of Oxford, 2019
22019
Group Equivariant Subsampling
J Xu, H Kim, T Rainforth, Y Teh
Advances in Neural Information Processing Systems 34, 5934-5946, 2021
12021
When Does Re-initialization Work?
S Zaidi, T Berariu, H Kim, J Bornschein, C Clopath, YW Teh, R Pascanu
arXiv preprint arXiv:2206.10011, 2022
2022
Learning Instance-Specific Data Augmentations
N Miao, E Mathieu, Y Dubois, T Rainforth, YW Teh, A Foster, H Kim
arXiv preprint arXiv:2206.00051, 2022
2022
Pre-training via Denoising for Molecular Property Prediction
S Zaidi, M Schaarschmidt, J Martens, H Kim, YW Teh, ...
arXiv preprint arXiv:2206.00133, 2022
2022
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