기초과학연구원 의생명수학그룹
In this talk, we discuss the paper "Deep learning for universal linear embeddings of nonlinear dynamics" by B. Lusch, J. N. Kutz, and S. Brunton, Nat. Comm. 2018. Abstract Identifying …
In this talk, we discuss the paper "Large language models for scientific discovery in molecular property prediction" by Yizhen Zheng et.al., nature machine intelligence, 2025. Abstract Large language models (LLMs) …
In this talk, we discuss the paper, "Data splitting to avoid information leakage with DataSAIL" by Roman Joeres, et al., Nature Communications, 2025. Abstract Information leakage is an increasingly important …
In 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, …