output
20202026
most citedHow malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare

23 citations

5 papers

q-fin.CP2026

Nonlinear and Heavy-Tailed Predictability in Transition-Energy Financial Markets

Kpante Emmanuel Gnandi, Fredy Pokou, Jules Sadefo Kamdem

Transition-related financial markets are increasingly exposed to abrupt repricing episodes, elevated volatility, and heterogeneous macro-financial shocks. Under such conditions, co…

q-fin.CP2026

Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis

Fredy Pokou, Jules Sadefo Kamdem, Kpante Emmanuel Gnandi

This paper investigates whether structural econometric models can rival machine learning in forecasting energy--macro dynamics while retaining causal interpretability. Using monthl…

cs.CY2025★ 23 cited

How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare

Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli +19

Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach un…

cs.AI2025

Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models

Fredy Pokou, Jules Sadefo Kamdem, François Benhmad

In an environment of increasingly volatile financial markets, the accurate estimation of risk remains a major challenge. Traditional econometric models, such as GARCH and its varia…

astro-ph.IM2020★ 4 cited

Dozens of virtual impactor orbits eliminated by the EURONEAR VIMP DECam data mining project

O. Vaduvescu, L. Curelaru, M. Popescu +2

Massive data mining of image archives observed with large etendue facilities represents a great opportunity for orbital amelioration of poorly known virtual impactor asteroids (VIs…