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Juho Lee

KAIST, Daejeon, South Korea

29 papers at tracked venues · 28 at CORE A* · active 2024–2025

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Venues

ICLR ×11NeurIPS ×10ICML ×5AAAI ×1ACL ×1ECCV ×1

Frequent coauthors

Hyunsu Kim
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Seanie Lee
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Hyungi Lee
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Byoungwoo Park
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Dong Bok Lee
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Chaeyun Jang
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Giung Nam
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Yegon Kim
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Yohan Jung
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Jonggeon Park
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Seungyoo Lee
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Tae Hong Moon
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Papers

  1. Active Learning with Selective Time-Step Acquisition for PDEs
    ICML 2025 ·
    Yegon Kim
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  2. Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
    ICLR 2025 ·
    Byoungwoo Park
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  3. Axial Neural Networks for Dimension-Free Foundation Models
    NeurIPS 2025 ·
    Hyunsu Kim
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  4. Compact Memory for Continual Logistic Regression
    NeurIPS 2025 ·
    Yohan Jung
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  5. Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
    NeurIPS 2025 ·
    Dong Bok Lee
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  6. Dimension Agnostic Neural Processes
    ICLR 2025 ·
    Hyungi Lee
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  7. Ensemble Distribution Distillation via Flow Matching
    ICML 2025 ·
    Jonggeon Park
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  8. FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
    NeurIPS 2025 ·
    Seanie Lee
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  9. HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
    ICLR 2025 ·
    Seanie Lee
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  10. Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
    ICLR 2025 ·
    Seanie Lee
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  11. PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
    NeurIPS 2025 ·
    Seungyoo Lee
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  12. Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
    ICLR 2025 ·
    Hyunsu Kim
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  13. Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
    NeurIPS 2025 ·
    Chaeyun Jang
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  14. SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
    ACL 2025 ·
    Seanie Lee
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  15. Variational Bayesian Pseudo-Coreset
    ICLR 2025 ·
    Hyungi Lee
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  16. A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
    ICML 2024 ·
    Tae Hong Moon
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  17. Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
    ICLR 2024 ·
    Hyungi Lee
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  18. Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
    NeurIPS 2024 ·
    Giung Nam
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  19. Fast Ensembling with Diffusion Schrödinger Bridge
    ICLR 2024 ·
    Hyunsu Kim
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  20. Learning Infinitesimal Generators of Continuous Symmetries from Data
    NeurIPS 2024 ·
    Gyeonghoon Ko
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  21. Learning to Explore for Stochastic Gradient MCMC
    ICML 2024 ·
    Seunghyun Kim
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  22. Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
    ICLR 2024 ·
    Giung Nam
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  23. Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
    NeurIPS 2024 ·
    Chaeyun Jang
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  24. Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
    ECCV 2024 ·
    Sanghyun Kim
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  25. Self-Supervised Dataset Distillation for Transfer Learning
    ICLR 2024 ·
    Dong Bok Lee
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  26. Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
    ICLR 2024 ·
    Moonseok Choi
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  27. Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
    AAAI 2024 ·
    Dongjin Lee
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  28. Stochastic Optimal Control for Diffusion Bridges in Function Spaces
    NeurIPS 2024 ·
    Byoungwoo Park
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  29. Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
    ICML 2024 ·
    Hyunsu Kim
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