Computer Science and Discrete Mathematics (CSDM)

Since their inception, random graphs have been a central topic in probability and combinatorics, offering a remarkably rich landscape for studying how complex structures emerge from randomness. We will discuss the following fundamental questions...

Random Geometric Graphs

Aleksa Milojević

The random geometric graph Geo_d(n,p) is a probability distribution over graphs, constructed by placing n points uniformly on a d-dimensional sphere and connecting two points whenever they are sufficiently close — where the proximity threshold is...

Algebraic Expander Codes

Itzhak Tamo

By combining sparse graphs with local constraints, expander codes offer a powerful framework for achieving fast decoding algorithms while maintaining asymptotically good rate and minimum distance. However, the standard constraint-counting arguments...

How does the choice of training data influence an AI model? This question is of central importance to interpretability, privacy, and basic science.  At its core is the data deletion problem: after a reasonable amount of precomputation, quickly...