(Cancelled) TBD – Amir Sharafkhaneh
ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)-
7 events found.
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Generative Models and Causality – Kyungwoo Song
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofThis seminar examines how generative AI advances three foundational tasks in causality, treated as distinct, modular problems: (1) causal inference via intervention‑effect estimation, (2) causal graph analysis, and (3) detection …
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Modeling personalized heart rate response to exercise and environmental factors with wearables data – Dongju Lim
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Modeling personalized heart rate response to exercise and environmental factors with wearables data" by Nazaret et al., npj digital medicine, 2023. Abstract Heart …
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2025 KAI-X Global Conference in Sleep Synergy
KAIST W13 Conference Room (1F) 291 Daehak-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofConference Webpage Link: https://sites.google.com/view/2025-kai-x-sleep-synergy/home
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Empirical modeling of bifurcations and chaos from time series – Stephan Munch
ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)Abstract Many natural systems exhibit complex dynamics and are prone to sudden changes or ‘regime shifts’. At the same time, many of these systems are sparsely observed posing considerable challenges …
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Quantifying interventional causality by knockoff operation – Yun Min Song
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "Causal disentanglement for single-cell representations and controllable counterfactual generation" by Yicheng Gao et al., Nature Communications, 2025. Abstract Conducting disentanglement learning on single-cell …
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FilterNet: Harnessing Frequency Filters for Time Series Forecasting – Jinwoo Hyun
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofIn this talk, we discuss the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting" by Kun Yi et al., NeurIPS, 2024. Abstract Given the ubiquitous presence of time series …