Jihun Han – Bridging PDEs and machine learning
Abstract: This talk consists of two main parts. In the first part, I will discuss a numerical method for solving PDEs based on a stochastic representation of the solution. This …
12 events found.
Seminar
Events
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B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of
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Machine learning methods trained on simple models can predict critical transitions in complex natural systems – Shingo Gibo
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Machine learning methods trained on simple models can predict critical transitions in complex natural systems" by Smita Deb, Sahil Sidheekh, Christopher F. Clements, …
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Optimal transport for generating transition states in chemical reactions – Gyuyoung Hwang
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Optimal transport for generating transition states in chemical reactions" by C. Duan et.al., Nat. Machine. Intelligence, 2025. Abstract Transition states (TSs) are transient …
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scGPT: toward building a foundation model for single-cell multi-omics using generative AI – Hyun Kim
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "scGPT: toward building a foundation model for single-cell multi-omics using generative AI" by Haotian Cui, et.al. Nature Methods, 2024. Abstract Generative pretrained models …
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Jae-Kwang Kim – Weight calibration for causal inference and transfer learning
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofAbstract: Weight calibration is a popular technique in handling covariate-shift problem in causal inference. It can be viewed as a dual optimization problem for incorporating the implicit regression model. We introduce the generalized entropy calibration as a general tool for weight calibration. Several interesting applications will be introduced in the context of causal inference. Furthermore, weight calibration can be used to transfer learning, which combines information from two different samples, one for source data and the other for target data.
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Effective Markovian dynamics method of solving non-Markovian dynamics of stochastic gene expression – Dongju Lim
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Effective Markovian dynamics method of solving non-Markovian dynamics of stochastic gene expression" by Youming Li and Chen Jia, Physical Review Letters, to appear. …
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Quantifying the energy landscape of high-dimensional oscillatory systems by diffusion decomposition – Eui Min Jeong
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Quantifying the energy landscape of high-dimensional oscillatory systems by diffusion decomposition" by S. Bian et.al., Cell Reports Physical Science, 2025. Abstract High-dimensional networks …
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Jooyoung Hahn – Topological Data Analysis with two applications: Tumor Microenvironment and 2D Chromatography with High-Resolution Mass Spectrometry
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofAbstract Topological Data Analysis (TDA) has emerged as a powerful framework for uncovering meaningful structure in high-dimensional, complex datasets. In this talk, we present two applications of TDA in analyzing patterns, one in …
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Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan – Yun Min Song
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan" by J. Shim et.al., npj digital medicine, 2024. Abstract …
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Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters – Kevin Spinicci
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Statistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters" by L. Xia et.al. Nature Communications, 2024. Abstract …
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Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains – Jinwoo Hyun
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains" by K. Lee. Abstract The ability of deep networks to learn superior …
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Weak form SciML in the Life Sciences: The Weak Form is Stronger than you Think – David Bortz
ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)Abstract The creation and inference of mathematical models is central to modern scientific discovery in the life sciences. As more realism is demanded of models, however, the conventional framework of …