KSIAM 2022 Spring Conference
KSIAM 2022 Spring Conference Date May 27, 2022 (Friday) - May 29, 2022 (Sunday) Venue Daejeon, IBS Program Detailed information will be updated. The conference will be a joint meeting …
KSIAM 2022 Spring Conference Date May 27, 2022 (Friday) - May 29, 2022 (Sunday) Venue Daejeon, IBS Program Detailed information will be updated. The conference will be a joint meeting …
This talk will be presented online. Zoom link: 997 8258 4700 (pw: 1234) Abstract: Quantitative characterization of biomolecular networks is important for the analysis and design of network functionality. Reliable …
Abstract. Matrix/tensor factorization models such as principal component analysis , nonnegative matrix factorization, and CANDECOM/PARAFAC tensor decomposition provide powerful framework for dimension reduction and interpretable feature extraction, which are important …
We will discuss about "Approximating Solutions of the Chemical Master Equation using Neural Networks", Sukys et al., bioRxiv, 2022 Abstract: The Chemical Master Equation (CME) provides an accurate description of …
2022년 6월 3일 오후 4시 - 5시, 성균관대 신소재공학부의 원병묵 교수님의 논문 글쓰기 워크샵 강의가 있습니다. 참가를 원하시는 분은 구글 폼(링크)에서 사전 등록을 해주시기 바랍니다. 논문은 저자와 독자 사이의 학문적 …
2022년 6월 3일 오후 5시 - 6시, 부산교육정책연구소 박영민 연구원님의 논문 글쓰기 워크샵 강의가 있습니다. 참가를 원하시는 분은 구글 폼(링크)에서 사전 등록을 해주시기 바랍니다. 이 ‘영어 논문 쓰기’ 워크숍은 현재의 …
Abstract: Circadian rhythm is a robust internal 24 hours timekeeping mechanism maintained by the master circadian pacemaker Suprachiasmatic Nuclei (SCN). Numerous mathematical models have been proposed to capture SCN’s timekeeping …
Abstract: The connection between deep neural networks and ordinary differential equations (ODEs) is an active field of research in machine learning. In this talk, we view the hidden states of …
In addition to diffusive signals, cells in tissue also communicate via long, thin cellular protrusions, such as airinemes in zebrafish. Before establishing communication, cellular protrusions must find their target cell. …
We will discuss about "Identifying the critical states of complex diseases by the dynamic change of multivariate distribution", Peng, Hao, et al., Briefings in Bioinformatics, 2022. Abstract: The dynamics of …
Over the recent years, various methods based on deep neural networks have been developed and utilized in a wide range of scientific fields. Deep neural networks are highly suitable for …
We will discuss about "Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization", Wang, Yingfan, et al., J. Mach. Learn. …