Benefits of Stochastic Weight Averaging in Developing Neural Network Radiation Scheme for Numerical Weather Prediction von Song, Hwan‐Jin, Roh, Soonyoung, Lee, Juho, Nam, Giung, Yun, Eunggu, Yoon, Jongmin, Kim, Park Sa

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On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations von Jung, Euna, Choi, Jaekeol, Yun, EungGu, Rhee, Wonjong

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Traversing Between Modes in Function Space for Fast Ensembling von Yun, EungGu, Lee, Hyungi, Nam, Giung, Lee, Juho

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Martingale Posterior Neural Processes von Lee, Hyungi, Yun, Eunggu, Nam, Giung, Fong, Edwin, Lee, Juho

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A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models von Moon, Taehong, Choi, Moonseok, Yun, EungGu, Yoon, Jongmin, Lee, Gayoung, Cho, Jaewoong, Lee, Juho

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A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data von Choi, Jungwon, Keum, Seongho, Yun, EungGu, Kim, Byung-Hoon, Lee, Juho

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Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers von Kim, Byung-Hoon, Choi, Jungwon, Yun, EungGu, Kim, Kyungsang, Li, Xiang, Lee, Juho

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Probabilistic Imputation for Time-series Classification with Missing Data von Kim, SeungHyun, Kim, Hyunsu, Yun, EungGu, Lee, Hwangrae, Lee, Jaehun, Lee, Juho

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Scale Mixtures of Neural Network Gaussian Processes von Lee, Hyungi, Yun, Eunggu, Yang, Hongseok, Lee, Juho

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On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations von Jung, Euna, Choi, Jaekeol, EungGu Yun, Rhee, Wonjong

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Traversing Between Modes in Function Space for Fast Ensembling von EungGu Yun, Lee, Hyungi, Nam, Giung, Lee, Juho

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Martingale Posterior Neural Processes von Lee, Hyungi, Eunggu Yun, Nam, Giung, Fong, Edwin, Lee, Juho

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A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models von Moon, Taehong, Choi, Moonseok, EungGu Yun, Yoon, Jongmin, Lee, Gayoung, Cho, Jaewoong, Lee, Juho

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A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data von Choi, Jungwon, Keum, Seongho, EungGu Yun, Kim, Byung-Hoon, Lee, Juho

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Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers von Kim, Byung-Hoon, Choi, Jungwon, EungGu Yun, Kim, Kyungsang, Li, Xiang, Lee, Juho

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Scale Mixtures of Neural Network Gaussian Processes von Lee, Hyungi, Eunggu Yun, Yang, Hongseok, Lee, Juho

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Probabilistic Imputation for Time-series Classification with Missing Data von Kim, SeungHyun, Kim, Hyunsu, EungGu Yun, Lee, Hwangrae, Lee, Jaehun, Lee, Juho

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