Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...
Abstract: Aiming at selecting a small subset of nodes with maximum influence on networks, the influence maximization (IM) problem has been extensively studied. Since it is #P-hard to compute the ...
Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...
A Python tool for enumerating VGIT chambers and wall-crossings for the diagonal $\mathrm{SL}(2)$ action on $(\mathbb{P}^1)^n$. The program builds the chamber adjacency graph of the G-ample cone, ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
When checking that solutions to certain problems are correct, it turns out, you can’t get around the inherent complexity of ...
For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...
To help mark the passing of former Federal Reserve Chairman Alan Greenspan, we run this 2001 piece from Dr. Joseph Salerno, who understood the Greenspan fraud long before "The Maestro" tanked the US ...
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