Hyunjik Kim
Hyunjik Kim
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Disentangling by factorising
H Kim, A Mnih
Proceedings of the 35rd International Conference on Machine Learning 80 …, 2018
Attentive neural processes
H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ...
International Conference on Learning Representations (ICLR), 2019
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
From data to functa: Your data point is a function and you can treat it like one
E Dupont, H Kim, SM Eslami, D Rezende, D Rosenbaum
arXiv preprint arXiv:2201.12204, 2022
The lipschitz constant of self-attention
H Kim, G Papamakarios, A Mnih
International Conference on Machine Learning, 5562-5571, 2021
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
Pre-training via denoising for molecular property prediction
S Zaidi, M Schaarschmidt, J Martens, H Kim, YW Teh, ...
arXiv preprint arXiv:2206.00133, 2022
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
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
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
Conditional set generation with transformers
AR Kosiorek, H Kim, DJ Rezende
arXiv preprint arXiv:2006.16841, 2020
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
Group equivariant subsampling
J Xu, H Kim, T Rainforth, Y Teh
Advances in Neural Information Processing Systems 34, 5934-5946, 2021
Spatial functa: Scaling functa to imagenet classification and generation
M Bauer, E Dupont, A Brock, D Rosenbaum, JR Schwarz, H Kim
arXiv preprint arXiv:2302.03130, 2023
When Does Re-initialization Work?
S Zaidi, T Berariu, H Kim, J Bornschein, C Clopath, YW Teh, R Pascanu
Proceedings on, 12-26, 2023
Learning instance-specific augmentations by capturing local invariances
N Miao, T Rainforth, E Mathieu, Y Dubois, YW Teh, A Foster, H Kim
arXiv preprint arXiv:2206.00051, 2022
Collaborative filtering with side information: a gaussian process perspective
H Kim, X Lu, S Flaxman, YW Teh
arXiv preprint arXiv:1605.07025, 2016
Interpretable models in probabilistic machine learning
H Kim
University of Oxford, 2019
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