@jlenti.bsky.social

PhD student in Data Science. Centai + Sapienza University.

📣 Manuscript out! 📣 Do you struggle in navigating the maze of ABM methods? 🧭 This works unifies the literature on ABM calibration/estimation within a single comprehensive taxonomy: 🎲 sampling-based methods 🤖 meta-models 📖 open-box methods with @gdfm.bsky.social 💡 papers.ssrn.com/sol3/papers....

Estimating Parameters of Agent-Based Models from Data: A Methodological Review

Calibrating Agent-Based Models (ABMs) is essential for grounding their simulated dynamics in empirical reality, yet parameter estimation, a core part of calibra

papers.ssrn.com

New preprint out! arxiv.org/abs/2510.09669 How to develop population synthetis methods: 1) generation 2) evaluation *Generation*: Normalizing Flows transform geographic coordinates -> VAE generates data *Evaluation*: (i) fidelity (ii) utility and (iii) privacy

Population synthesis with geographic coordinates

It is increasingly important to generate synthetic populations with explicit coordinates rather than coarse geographic areas, yet no established methods exist to achieve this. One reason is that latit...

arxiv.org