Bayesian ML Lab

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KAIST · Graduate School of AI

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머신러닝·딥러닝·베이지안 방법에 관심 있는 자기주도적 학생 모집. 김재철AI대학원 입학이 필요하며, 지원 마감 2~3개월 전에 이주호 교수에게 연락해 사전 연구 프로젝트를 진행할 것을 권장.

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Professor

Prof. 이주호

Professor's page · publications

About

이주호(Juho Lee) 교수가 이끄는 SIML(Statistical Inference and Machine Learning) 연구실은 KAIST 김재철AI대학원 소속으로, 베이지안 학습을 중심으로 베이지안 비모수 모델부터 베이지안 딥러닝, 생성 모델까지 연구한다. 머신러닝·딥러닝·베이지안 방법론을 폭넓게 다룬다.

Research keywords

Machine learningartificial intelligenceBayesian models

Selected publications

Axial Neural Networks for Dimension-Free Foundation ModelsNeurIPS · 2025
Test Time Scaling for Neural ProcessesNeurIPS · 2025
Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted NetworksICML · 2025
Dimension Agnostic Neural ProcessesICLR · 2025
Variational Bayesian Pseudo-CoresetICLR · 2025
Stochastic optimal control for diffusion bridges in function spacesNeurIPS · 2024
Learning to explore for stochastic gradient MCMCICML · 2024
Self-supervised dataset distillation for transfer learningICLR · 2024

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