Hyunjik Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion. | Jona Ball, Luca Versari, Emilien Dupont, Hyunjik Kim, Matthias Bauer |
| 2024 | CVPR | C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video. | Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont |
| 2024 | IJCAI | Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. | 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 | ICLR | Pre-training via Denoising for Molecular Property Prediction. | Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin |
| 2023 | ICML | Learning Instance-Specific Augmentations by Capturing Local Invariances. | Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim |
| 2022 | ICML | From data to functa: Your data point is a function and you can treat it like one. | Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum |
| 2021 | ICML | LieTransformer: Equivariant Self-Attention for Lie Groups. | Michael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim |
| 2021 | ICML | The Lipschitz Constant of Self-Attention. | Hyunjik Kim, George Papamakarios, Andriy Mnih |
| 2020 | ICML | MetaFun: Meta-Learning with Iterative Functional Updates. | Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh |
| 2019 | ICLR | Attentive Neural Processes. | Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh |
| 2018 | AISTATS | Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes. | Hyunjik Kim, Yee Whye Teh |
| 2018 | ICML | Disentangling by Factorising. | Hyunjik Kim, Andriy Mnih |
| 2016 | ICML | Scalable Structure Discovery in Regression using Gaussian Processes. | Hyunjik Kim, Yee Whye Teh |