Singularity And The Buzzard

There are certain instances across history when the central feature of investor behavior is an “increasingly urgent impulse ...
IEEE

EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning

Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...
IEEE

Variational Graph Convolutional Networks for Dynamic Graph Representation Learning

Abstract: The ubiquitous and ever-evolving nature of cyber threats demands innovative approaches that can adapt to the dynamic relationships and structures within network data. Traditional models ...
Frontiers

Optimal portfolio selection in jump-uncertain stochastic markets via maximum principle and dynamic programming

1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...
GitHub

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting

Existing forecasting methods often force a trade-off: either train a highly specialized model for each site (which is costly and doesn't scale) or adapt a large, general-purpose model (which can be ...