More than paper - a true value story on dimensional stability
Professor Stéphane Mallat: "High-Dimensional Learning and Deep Neural Networks"
Stability and Eigenvalues: What does it mean to be a "stable" eigenvalue?
Stéphane Mallat - High Dimensional Classification with Invariant Deep Networks
Visualizations to guide dimension reduction for sparse high-dimensional data
High Dimensional Functional Learning - Jason Klusowski
High Dimensional Expanders - Alex Lubotzky
On High Dimensional Expanders and Hardness of Approximation by Max Hopkins
Paweł Dłotko (12/11/24): Feature Extraction and Visualization Methods in TDA
Alex Lubotzky (Israel) -Stability, non-approximated groups and high-dimensional expanders - 12/2020
ITA 2016 Assumption-Free, High-Dimensional Inference; Larry Wasserman, CMU
Stability, Non-approximate Groups and High Dimensional Expanders by Alex Lubotzky
High Dimensional Forecasting and its Pitfalls
High-Dimensional Statistical Inference and Analysis of Microbial Association Networks
Stéphane Mallat: High dimensional learning from images to physics
Keynote 1: High dimensional Causal Inference -- Peter Bühlman
Recent Progress in High-Dimensional Learning
Differentially Private Learning on Large, Online and High-dimensional Data
Sketching High-Dimensional Data
High Dimensional Expanders and Ramanujan Complexes - Alexander Lubotzky
