Hyunjik Kim

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Collaborative Filtering

Gaussian Process

Top Venues

Publications

Piotr Mirowski, David Warde-Farley, Mihaela Rosca, Matthew Koichi Grimes, Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman V. Ravuri, Shakir Mohamed
Neural Compression of Atmospheric States. CoRR (2024)
Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
Pre-training via Denoising for Molecular Property Prediction. ICLR (2023)
Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Augmentations by Capturing Local Invariances. ICML (2023)
Abbas Mehrabian, Ankit Anand, Hyunjik Kim, Nicolas Sonnerat, Matej Balog, Gheorghe Comanici, Tudor Berariu, Andrew Lee, Anian Ruoss, Anna Bulanova, Daniel Toyama, Sam Blackwell, Bernardino Romera-Paredes, Petar Velickovic, Laurent Orseau, Joonkyung Lee, Anurag Murty Naredla, Doina Precup, Adam Zsolt Wagner
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR (2023)
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR (2023)
Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
C3: High-performance and low-complexity neural compression from a single image or video. CoRR (2023)
Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
Pre-training via Denoising for Molecular Property Prediction. CoRR (2022)
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum
From data to functa: Your data point is a function and you can treat it like one. ICML (2022)
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum
From data to functa: Your data point is a function and you should treat it like one. CoRR (2022)
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
Learning Instance-Specific Data Augmentations. CoRR (2022)
Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu
When Does Re-initialization Work? CoRR (2022)
Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu
When Does Re-initialization Work? ICBINB (2022)
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
LieTransformer: Equivariant Self-Attention for Lie Groups. ICML (2021)
Jin Xu, Hyunjik Kim, Thomas Rainforth, Yee Whye Teh
Group Equivariant Subsampling. NeurIPS (2021)
Hyunjik Kim, George Papamakarios, Andriy Mnih
The Lipschitz Constant of Self-Attention. ICML (2021)
Jin Xu, Hyunjik Kim, Tom Rainforth, Yee Whye Teh
Group Equivariant Subsampling. CoRR (2021)
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
MetaFun: Meta-Learning with Iterative Functional Updates. ICML (2020)
Adam R. Kosiorek, Hyunjik Kim, Danilo J. Rezende
Conditional Set Generation with Transformers. CoRR (2020)
Hyunjik Kim, George Papamakarios, Andriy Mnih
The Lipschitz Constant of Self-Attention. CoRR (2020)
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
LieTransformer: Equivariant self-attention for Lie Groups. CoRR (2020)
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Attentive Neural Processes. CoRR (2019)
Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh
Meta-Learning surrogate models for sequential decision making. CoRR (2019)
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Attentive Neural Processes. ICLR (Poster) (2019)
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
MetaFun: Meta-Learning with Iterative Functional Updates. CoRR (2019)
Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. NeurIPS (2018)
Hyunjik Kim, Andriy Mnih
Disentangling by Factorising. CoRR (2018)
Hyunjik Kim, Andriy Mnih
Disentangling by Factorising. ICML (2018)
Hyunjik Kim, Yee Whye Teh
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes. AISTATS (2018)
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. CoRR (2018)
Hyunjik Kim, Yee Whye Teh
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes. CoRR (2017)
Hyunjik Kim, Yee Whye Teh
Scalable Structure Discovery in Regression using Gaussian Processes. AutoML@ICML (2016)
Hyunjik Kim, Xiaoyu Lu, Seth R. Flaxman, Yee Whye Teh
Tucker Gaussian Process for Regression and Collaborative Filtering. CoRR (2016)