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UAI

머신러닝 · 학회 · 논문 23편 · 연구실 14곳

연도별 논문

전체 · 논문 23편

202612편

  • A model-free universal AI

    Yegon Kim, Juho Lee

  • A Probabilistic Circuit Framework for Interpretable Graph PU Learning

    Sagad Hamid, Dooho Lee, Myeong Kong, Tanya Braun, Jaemin Yoo

  • Beyond Bounds: Quantifying the Probability of Counterfactual Fairness

    Taehan Kim, Minyoung Cho, Sanghack Lee *

  • Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery

    Min Woo Park*, Taehui Yun*, YoungIn Jang, Yoonseok Yeom, Jonghwan Kim, Jiyeon Kang, Songseong Kim, Hyemin Jung, Sangmin Lee, Jongseong Jang*, Sanghack Lee *

  • Canonical Domain Reduction for Partial Counterfactual Identification

    Yesong Choe, Yeahoon Kwon*, Min Woo Park*, Sanghack Lee *

  • Don’t Test What You Can Deduce: Causal Discovery with Logical Inference

    Jonghwan Kim, Sanghack Lee *

  • Estimating Interventional Outcomes over Time with Causal Normalizing Flow

    Yoonseok Yeom*, Jonghwan Kim*, Taehui Yun, Juhyun Lyu, Jung-Hee Kim, Sangmin Lee, Jinseok Yang, Hyemin Jung, Woohyung Lim*, Sanghack Lee *

  • Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics

    J. Lee and H. Kim

  • On Causal Representation Learning with Internal Auxiliaries

    Kwonho Kim, Heejeong Nam, Inwoo Hwang, Sanghack Lee *

  • On Transportability for Structural Causal Bandits

    Min Woo Park, Sanghack Lee *

  • Preserving Compositionality for Robust Multi-Subject Personalization in Text-to-Image Generation

    Sangho Lee, Eugene Baek, Suho Ryu, Dongsoo Shin, Joonseok Lee

  • Probabilistic Edge Modulation for High-Dimensional Causal Discovery

    Seyong Hwang, Kyoungjae Lee, Sunmin Oh, Gunwoong Park

20252편

  • 이남훈POSTECH

    Critical Influence of Overparameterization on Sharpness-aware Minimization

    Sungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee

  • 송경우Yonsei

    Flat Posterior Does Matter For Bayesian Model Averaging

    Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song

20245편

  • Causal Discovery with Deductive Reasoning: One Less Problem

    Jonghwan Kim, Inwoo Hwang, Sanghack Lee *

  • Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction

    Yunhyeok Kwak*, Inwoo Hwang*, Dooyoung Kim, Sanghack Lee *, Byoung-Tak Zhang*

  • Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction

    Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang

  • 권도현Yonsei

    Memorization Capacity for Additive Fine-Tuning with Small ReLu Networks

    Dohyun Kwon, Jy-yong Sohn, Seoyeon An, Kangwook Lee

  • 손지용Yonsei

    Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks

    J. Sohn, D. Kwon, S. An, K. Lee

20234편

  • MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model

    Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak

  • On the Convergence of Continual Learning with Adaptive Methods

    Seungyub Han, Yeongmo Kim, Taehyun Cho, and Jungwoo Lee

  • Towards Physically Reliable Molecular Representation Learning

    Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee

  • Towards Physically Reliable Molecular Representation Learning

    Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee