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X-WR-CALDESC:Events for Biomedical Mathematics Group
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Seoul:20260821T100000
DTEND;TZID=Asia/Seoul:20260821T120000
DTSTAMP:20260818T042157Z
CREATED:20260730T020529Z
LAST-MODIFIED:20260818T042157Z
UID:12772-1787306400-1787313600@www.ibs.re.kr
SUMMARY:Dynamical Causality Under Latent Confounders for Biological Network Reconstruction - Olive Cawiding
DESCRIPTION:In this talk\, we discuss the paper “Dynamical Causality Under Latent Confounders for Biological Network Reconstruction” by Jinling Yang et al\, IEEE Transactions on Pattern Analysis and Machine Intelligence (2026). \nAbstract: \nCausal interaction inference is prone to spurious causal interactions\, due to the substantial confounders in a biological system. While many existing methods attempt to address misidentification challenges\, there remains a notable lack of effective methods to infer causal interaction under latent/unobserved confounders. In this work\, we propose a method to overcome such challenges to infer dynamical causality under invisible confounders (CIC) and further reconstruct the latent confounders from time-series data by developing an orthogonal decomposition theorem in a delay embedding space. This theoretical foundation ensures the causal detection for any high-dimensional system even with only two observed variables under many latent confounders\, which is a long-standing problem in the field. In addition to the latent confounder problem\, such a decomposition makes the coupled variables separable in the embedding space\, thus also solving the non-separability problem of causal inference. Extensive validation of the CIC method is carried out using various real datasets\, which all demonstrates its effectiveness to reconstruct real biological networks and unobserved confounders.
URL:https://www.ibs.re.kr/bimag/event/tangent-space-regularization-for-neural-network-models-of-dynamical-systems-olive-cawiding/
LOCATION:109\, Conference room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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