23 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kista Photonics Research CenterSE2 papers
- University of CambridgeGB2 papers
- Asia Pacific Center for Theoretical PhysicsKR1 paper
- Babeș-Bolyai UniversityRO1 paper
- BI Norwegian Business SchoolNO1 paper
- Centre de Recherche en InformatiqueFR1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
- Columbia UniversityUS1 paper
- Cornell UniversityUS1 paper
- Cristal (United Kingdom)GB1 paper
- Development InitiativesGB1 paper
- École Nationale de l’Aviation CivileFR1 paper
6 papers
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…
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…
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…
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…
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…
Historic Emergence of Diversity in Painting: Heterogeneity in Chromatic Distance in Images and Characterization of Massive Painting Data Set
Byunghwee Lee, Daniel Kim, Seunghye Sun +2
Painting is an art form that has long functioned as a major channel for the creative expression and communication of humans, its evolution taking place under an interplay with the…