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Group Equivariant Subsampling


Jun 10, 2021
Jin Xu, Hyunjik Kim, Tom Rainforth, Yee Whye Teh


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LieTransformer: Equivariant self-attention for Lie Groups


Dec 20, 2020
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim


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Conditional Set Generation with Transformers


Jul 01, 2020
Adam R Kosiorek, Hyunjik Kim, Danilo J Rezende

* 6 pages, 6 figures, ICML 2020 Workshop on Object-Oriented Learning 

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The Lipschitz Constant of Self-Attention


Jun 08, 2020
Hyunjik Kim, George Papamakarios, Andriy Mnih


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MetaFun: Meta-Learning with Iterative Functional Updates


Dec 05, 2019
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh


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Meta-Learning surrogate models for sequential decision making


Mar 28, 2019
Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh


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Attentive Neural Processes


Jan 17, 2019
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh


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Disentangling by Factorising


Jun 06, 2018
Hyunjik Kim, Andriy Mnih

* Shorter version appeared in Learning Disentangled Representations: From Perception to Control workshop at NIPS, 2017: https://sites.google.com/corp/view/disentanglenips2017 

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Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects


Jun 05, 2018
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh

* 25 pages, 19 figures, submitted to NIPS 

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Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes


Feb 14, 2018
Hyunjik Kim, Yee Whye Teh

* AISTATS 2018 (oral) 

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Collaborative Filtering with Side Information: a Gaussian Process Perspective


Jun 08, 2017
Hyunjik Kim, Xiaoyu Lu, Seth Flaxman, Yee Whye Teh


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