Summer Seminar Series
Foundations, Frontiers and Applications of Data Science
ORGANIZERS
- Chun-Yen Shen, Mathematics, NTU
- Mao-Pei Tsui, Mathematics, NTU
- Hau-Tieng Wu, Mathematics, NYU/AS
- Shih-Hsien Yu, Mathematics, AS
SEMINARS
- 6/30 Monday, 11am-12pm. Astromath 202
Title: An Outlier-Robust PCA Method with Applications to Computer Vision
Gilad Lerman, Mathematics, Minnesota University
- 7/1 Tuesday, 11am-12pm. Astromath 202
Title: Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
Zhou Zhou, Statistics, University of Toronto
- 7/2 Wednesday, 11am-12pm. Astromath 202
Title: High-order Synchrosqueezing operators, their singularities, and its relation with Hankel matrices
Marcelo Colominas, BME, CONICET
- 7/3 Thursday, 11am-12pm. Astromath 639
Title: Decoding the human body through biosignals
Danilo Pani, Biomedical Engineering, University of Cagliari
- 7/7 Monday, 11am-12pm. Astromath 639
Title: The Gap between Interpretable Neural Transformations and Disentanglement of Multimodal Time-Series Data
Ching-Lung Hsu, IBMS, Academia Sinica; Yu-Chen Huang, School of Medicine, National Taiwan University
- 7/8 Tuesday, 11am-12pm. Astromath 639
Title: Manifold learning and the Nash embedding theorems
Govind Menon, Applied Mathematics, Brown University
- 7/9 Wednesday, 1pm-2pm. EE2, EE Building No.2.
Title: Revisiting Array Signal Processing Through the lens of Riemannian Geometry
Ronen Talmon, EE, Technion
- 7/10 Thursday, 11am-12pm. Astromath 639
Title: Nonlinear Dimensionality Reduction - Myths, Dogmas and Problems
Stefan Steinerberger, Mathematics, University of Washington
- 7/11 Friday, 11am-12pm. Astromath 639
Title: Mitigation of DC Transients and Stimulus Artifacts for Adaptive Deep Brain Stimulation Evaluated by Temporal Localization Analysis
Tzi-Chi Liu, Neurology, CGMH-Linkou
- 7/14 Monday, 11am-12pm. Astromath 639
Title: Model-based denoising: Examples from speech and hearing science
Yi-Wen Liu, EE, NTHU
- 7/15 Tuesday, 11am-12pm. Astromath 202
Title: Revealing Latent Hierarchical Structures in High-Dimensional Data Using Hyperbolic Representations
Ronen Talmon, EE, Technion
More will come...