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이해범 교수 연구실

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Korea University · Electrical Engineering

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자기주도적인 학생을 모집하며, 박사 지원자는 최상위 학회 1저자 논문 1편 이상을 요구하고 3개월 인턴십을 우선 권장한다.

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Professor

Prof. 이해범

Professor's page · publications

About

이해범 교수는 고려대 전기전자공학부 소속으로, 인공지능과 머신러닝을 연구한다. LLM 추론과 'System 2' 딥러닝, 메타러닝·AutoML, 베이지안 추론, 생성 흐름 네트워크(GFlowNets), 전이·다중작업·연속 학습 등을 다룬다.

Research keywords

인공지능 및 머신러닝

Selected publications

  • Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter TuningNeurIPS · 2025
  • Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted NetworksICML · 2025
  • Delta-AI: Local Objectives for Amortized Inference in Sparse Probabilistic Graphical ModelsICLR · 2024
  • Online Hyperparameter Meta-Learning with Hypergradient DistillationICLR · 2022
  • Sequential Reptile: Inter-Task Gradient Alignment for Multi-Task LearningICLR · 2022
  • Large-Scale Meta-Learning with Continual Trajectory ShiftingICML · 2021

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