activity
20232026
most citedSynthetic Data Applications in Finance

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework

Giuseppe Masi, Andrea Coletta, Novella Bartolini

In recent years, financial institutions and firms have increasingly adopted synthetic data to address data scarcity and to generate counterfactual market scenarios. However, reprod…

cs.AI2024★ 3 cited

LLM-driven Imitation of Subrational Behavior : Illusion or Reality?

Andrea Coletta, Kshama Dwarakanath, Penghang Liu +2

Modeling subrational agents, such as humans or economic households, is inherently challenging due to the difficulty in calibrating reinforcement learning models or collecting data…

cs.LG2024★ 8 cited

Synthetic Data Applications in Finance

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta +17

Synthetic data has made tremendous strides in various commercial settings including finance, healthcare, and virtual reality. We present a broad overview of prototypical applicatio…

cs.LG2023

Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections

Tom Bamford, Andrea Coletta, Elizabeth Fons +4

Financial firms commonly process and store billions of time-series data, generated continuously and at a high frequency. To support efficient data storage and retrieval, specialize…

cs.LG2023

INTAGS: Interactive Agent-Guided Simulation

Song Wei, Andrea Coletta, Svitlana Vyetrenko +1

In many applications involving multi-agent system (MAS), it is imperative to test an experimental (Exp) autonomous agent in a high-fidelity simulator prior to its deployment to pro…