Hyunjik Kim - RankMe

38 papers A* 12A 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. CVPR Jona Ballé, Luca Versari, Emilien Dupont, Hyunjik Kim, Matthias Bauer
2025	J	`jnl`	MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer. CoRR Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen
2024	A*	`conf`	C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video. CVPR Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
2024	A*	`conf`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. IJCAI 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
2024	J	`jnl`	Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. CoRR Jona Ballé, Luca Versari, Emilien Dupont, Hyunjik Kim, Matthias Bauer
2024	J	`jnl`	Neural Compression of Atmospheric States. CoRR Piotr Mirowski, David Warde-Farley, Mihaela Rosca, Matthew Koichi Grimes, Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman V. Ravuri, Shakir Mohamed
2023	J	`jnl`	C3: High-performance and low-complexity neural compression from a single image or video. CoRR Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
2023	J	`jnl`	Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. CoRR 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
2023	A*	`conf`	Learning Instance-Specific Augmentations by Capturing Local Invariances. ICML Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
2023	A*	`conf`	Pre-training via Denoising for Molecular Property Prediction. ICLR Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
2023	J	`jnl`	Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
2022	A*	`conf`	From data to functa: Your data point is a function and you can treat it like one. ICML Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum
2022	J	`jnl`	From data to functa: Your data point is a function and you should treat it like one. CoRR Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum
2022	J	`jnl`	Learning Instance-Specific Data Augmentations. CoRR Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
2022	J	`jnl`	Pre-training via Denoising for Molecular Property Prediction. CoRR Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
2022	—	`conf`	When Does Re-initialization Work? ICBINB Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu
2022	J	`jnl`	When Does Re-initialization Work? CoRR Sheheryar Zaidi, Tudor Berariu, Hyunjik Kim, Jörg Bornschein, Claudia Clopath, Yee Whye Teh, Razvan Pascanu
2021	A*	`conf`	Group Equivariant Subsampling. NeurIPS Jin Xu, Hyunjik Kim, Thomas Rainforth, Yee Whye Teh
2021	J	`jnl`	Group Equivariant Subsampling. CoRR Jin Xu, Hyunjik Kim, Tom Rainforth, Yee Whye Teh
2021	A*	`conf`	LieTransformer: Equivariant Self-Attention for Lie Groups. ICML Michael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
2021	A*	`conf`	The Lipschitz Constant of Self-Attention. ICML Hyunjik Kim, George Papamakarios, Andriy Mnih
2020	J	`jnl`	Conditional Set Generation with Transformers. CoRR Adam R. Kosiorek, Hyunjik Kim, Danilo J. Rezende
2020	J	`jnl`	LieTransformer: Equivariant self-attention for Lie Groups. CoRR Michael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
2020	A*	`conf`	MetaFun: Meta-Learning with Iterative Functional Updates. ICML Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
2020	J	`jnl`	The Lipschitz Constant of Self-Attention. CoRR Hyunjik Kim, George Papamakarios, Andriy Mnih
2019	—	`conf`	Attentive Neural Processes. ICLR (Poster) Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	J	`jnl`	Attentive Neural Processes. CoRR Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	—	`—`	Interpretable models in probabilistic machine learning. Hyunjik Kim
2019	J	`jnl`	Meta-Learning surrogate models for sequential decision making. CoRR Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh
2019	J	`jnl`	MetaFun: Meta-Learning with Iterative Functional Updates. CoRR Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh
2018	A*	`conf`	Disentangling by Factorising. ICML Hyunjik Kim, Andriy Mnih
2018	J	`jnl`	Disentangling by Factorising. CoRR Hyunjik Kim, Andriy Mnih
2018	A	`conf`	Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes. AISTATS Hyunjik Kim, Yee Whye Teh
2018	A*	`conf`	Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. NeurIPS Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner
2018	J	`jnl`	Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. CoRR Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh
2017	J	`jnl`	Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes. CoRR Hyunjik Kim, Yee Whye Teh
2016	—	`conf`	Scalable Structure Discovery in Regression using Gaussian Processes. AutoML@ICML Hyunjik Kim, Yee Whye Teh
2016	J	`jnl`	Tucker Gaussian Process for Regression and Collaborative Filtering. CoRR Hyunjik Kim, Xiaoyu Lu, Seth R. Flaxman, Yee Whye Teh