The Signed Translation Transformed Depth: Order, Quantiles, Spread, Skewness, and Quantile Regression for Multivariate Functional Data Emmanuel Ambriz, Postdoctoral Research Fellow, Statistics May 15, 12:00 - 13:00 B9 L2 R2325 multivariate analysis This seminar introduces the Signed Translation transformed Depth (STtD), a novel interpretable ordering method for multivariate functional data, which enables enhanced distributional analysis, the definition of descriptive tools, and a flexible vine copula-based quantile regression framework.
MI is All You Need: Understanding Complex Multivariate Systems Through the Lenses of GenAI Pietro Michiardi, Professor, Department Head, Data Science Department, EURECOM Mar 26, 12:00 - 13:00 B1 L4 R4102 This talk explores the use of score functions and denoising neural networks for efficient estimation of mutual information and novel extensions to information theory that describe complex multivariate interactions, demonstrating applications in automotive sensing, semantic alignment, and neuroscience.
Latent Abstractions, Mutual Information and Generative Diffusion Models Giulio Franzese, Assistant Professor, Data Science Department, EURECOM Mar 23, 12:00 - 13:00 B1 L4 R4102 This talk presents a mathematical framework linking stochastic differential equations and information theory on how diffusion models utilize latent abstractions via implicit stochastic filtering to synthesize high-dimensional data.
The KAUST 2024 Workshop on Statistics Nov 18, 09:00 - Nov 21, 17:00 Auditorium between Building 4 - 5 The KAUST Statistics Workshop will feature the latest research on statistical methods and modeling to address real-world challenges in health, environment, climate, energy and beyond.
