Bayesian Inference and Machine Learning Meet Spatial Data Science

Prof. Sudipto Banerjee, University of California, Los Angeles

2024-09-14 15:00-16:00

Room 341, Business School Building

Connecting the Dots: Statistical Models in Brain Imaging and Brain Networks Dynamics

Prof. Michele Guindani, University of California, Los Angeles

2024-09-14 14:00-15:00

Room 341, Business School Building

Brain-network-inspired computing for next-generation efficient and sustainable AI

Prof. Carlo Vittorio Cannistraci, Tsinghua Laboratory of Brain and Intelligence

2024-09-09 10:30-12:00

Room 109, Business School Building

MM Algorithms in Action

Prof. Hua ZHOU, University of California, Los Angeles

2024-09-14 16:00-16:30

Room 341, Business School Building

A Bayesian Criterion for Re-randomization

Prof. Ke DENG, Tsinghua University

2024-09-06 15:10-16:10

Room 103, Business School Building

Blockwise Mixed Membership Model for Discovering the Clinical Heterogeneity of Parkinson’s Disease

Prof. Kai KANG, Sun Yat-sen University

2024-09-02 16:30-17:30

Room 341, Business School Building

Science Driven Research in Statistics

Prof. Heping ZHANG, Yale University

2024-08-15 15:00-16:00

Room 341, Business School Building

Linking brain-wide gene expression and neuroimaging data in brain science

Prof. Shuixia GUO, Hunan Normal University

2024-08-01 16:30-17:30

Room 341, Business School Building

Deep Learning and Information Theory (A Critical Comparison)

Prof. Jean-Michel MOREL, City University of Hong Kong

2024-08-01 14:00-15:00

Room 208, Business School Building

动力学刻画的数据科学与AI

Prof. Luonan CHEN, Chinese Academy of Sciences

2024-07-28 15:00-16:00

Room 102, Business School Building