Hyunjik Kim

15 papers · 2016–2025 · 7 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9)

🌍 Conference Polyglot (7) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🗃️ Keyword Collector (65) 💎 Century Club (15) 🔥 Unstoppable (8) 🚀 Conference Pioneer

Conferences

ICML (6) CVPR (2) ICLR (2) NIPS (2) AISTATS (1) AUTOML (1) IJCAI (1)

Top co-authors

Yee Whye Teh (8) Emilien Dupont (4) Andriy Mnih (3) Dan Rosenbaum (2) Jin Xu (2) Matthias Bauer (2) Sheheryar Zaidi (2) Adam Kosiorek (2) Thomas Rainforth (1) Doina Precup (1)

Keywords

representation learning (3) neural network (3) image compression (2) unsupervised learning (2) group equivariance (2) gaussian process (2) model selection (1) video prediction (1) adversarial robustness (1) video generation (1) neural compression (1) self-supervised learning (1) data augmentation (1) language modeling (1) curriculum learning (1) object tracking (1) graph theory (1) image reconstruction (1) model fitting (1) variational inference (1)

Papers

Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion CVPR 2025 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video CVPR 2024 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search IJCAI 2024 Pre-training via Denoising for Molecular Property Prediction ICLR 2023 Learning Instance-Specific Augmentations by Capturing Local Invariances ICML 2023 From data to functa: Your data point is a function and you can treat it like one ICML 2022 The Lipschitz Constant of Self-Attention ICML 2021 Group Equivariant Subsampling NIPS 2021 LieTransformer: Equivariant Self-Attention for Lie Groups ICML 2021 MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020 Attentive Neural Processes ICLR 2019 Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018 Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects NIPS 2018 Disentangling by Factorising ICML 2018 Scalable Structure Discovery in Regression using Gaussian Processes AUTOML 2016