mlsanityData to 14 Oct 2026

fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems

arXiv 2301.01807 ↗First posted 4 Jan 2023cs.LG cs.MA q-fin.CPcited by 0

Not on the map. Why?

Abstract (arXiv)

We discuss our simulation tool, fintech-kMC, which is designed to generate synthetic data for machine learning model development and testing. fintech-kMC is an agent-based model driven by a kinetic Monte Carlo (a.k.a. continuous time Monte Carlo) engine which simulates the behaviour of customers using an online digital financial platform. The tool provides an interpretable, reproducible, and realistic way of generating synthetic data which can be used to validate and test AI/ML models and pipelines to be used in real-world customer-facing financial applications.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 12 references that are in the map. First posted on arXiv 4 Jan 2023.

Builds on

6 of 12 references.

References · 6

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
  2. 2022Generative Adversarial Networkscited by 5,627
  3. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,166
  4. 2019Flow-based generative models for Markov chain Monte Carlo in lattice field theorycited by 148
  5. 2020Perspectives on Sim2Real Transfer for Robotics: A Summary of the R:SS 2020 Workshopcited by 25
  6. 2016Hashkat: Large-scale simulations of online social networkscited by 1

Built on by

Not cited yet.