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Taewon Kim

4 papers · 2022–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICLR (1) MICCAI (1) NeurIPS (1) WACV (1)

Top co-authors

Eunho Yang (2) Taesik Gong (1) Joonhyun Jeong (1) Angie Tang (1) Zhiwei Tan (1) Xihai Zhao (1) Gilhyun Nam (1) Mahmud Mossa-Basha (1) Li Chen (1) Zhensen Chen (1)

Research topics

Machine Learning (3) Deep Learning (2) Application Areas (2) Artificial Intelligence (1) Computer Vision (1) Architectures (1) Core AI (1) Core Methods (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

test-time adaptation (2) model calibration (1) batch normalization (1) distribution shift (1) reservoir sampling (1) uncertainty estimation (1) style invariance (1) predictive uncertainty (1) temporal correlation (1) graph neural network (1) interatomic force (1) molecular conformation (1) lennard-jones potential (1) continual learning (1) non-bonded interaction (1)

Papers

Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026 Edge-Aware Hierarchical Graph Transformer to Decode Brain Arterial Network MICCAI 2025 REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring ICLR 2025 NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation NeurIPS 2022