Cover Image

Synthetic Data Applications in Finance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Potluru, Vamsi K., Borrajo, Daniel, Coletta, Andrea, Dalmasso, Niccolò, El-Laham, Yousef, Fons, Elizabeth, Ghassemi, Mohsen, Gopalakrishnan, Sriram, Gosai, Vikesh, Kreačić, Eleonora, Mani, Ganapathy, Obitayo, Saheed, Paramanand, Deepak, Raman, Natraj, Solonin, Mikhail, Sood, Srijan, Vyetrenko, Svitlana, Zhu, Haibei, Veloso, Manuela, Balch, Tucker
Format:	Preprint
Published:	2023
Subjects:	Machine Learning General Finance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Language Model-Guided Framework for Mining Time Series with Distributional Shifts
by: Zhu, Haibei, et al.
Published: (2024)

Mixup Regularization: A Probabilistic Perspective
by: El-Laham, Yousef, et al.
Published: (2025)

Privacy-Aware Time Series Synthesis via Public Knowledge Distillation
by: Liu, Penghang, et al.
Published: (2025)

TS-Agent: Understanding and Reasoning Over Raw Time Series via Iterative Insight Gathering
by: Liu, Penghang, et al.
Published: (2025)

Augment on Manifold: Mixup Regularization with UMAP
by: El-Laham, Yousef, et al.
Published: (2023)

Variational Neural Stochastic Differential Equations with Change Points
by: El-Laham, Yousef, et al.
Published: (2024)

A supervised generative optimization approach for tabular data
by: Nakamura-Sakai, Shinpei, et al.
Published: (2023)

Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach
by: Sun, Zhongchang, et al.
Published: (2023)

Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections
by: Bamford, Tom, et al.
Published: (2023)

LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation
by: Fons, Elizabeth, et al.
Published: (2025)

Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
by: Wang, Shuaiqi, et al.
Published: (2024)

Breaking Distortion-free Watermarks in Large Language Models
by: Reynolds, Shayleen, et al.
Published: (2025)

Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
by: Selvi, Aras, et al.
Published: (2024)

Six Levels of Privacy: A Framework for Financial Synthetic Data
by: Balch, Tucker, et al.
Published: (2024)

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
by: Li, Mufei, et al.
Published: (2023)

Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series
by: Vapsi, Annita, et al.
Published: (2026)

Auditing and Enforcing Conditional Fairness via Optimal Transport
by: Ghassemi, Mohsen, et al.
Published: (2024)

Beyond Linear Diffusions: Improved Representations for Rare Conditional Generative Modeling
by: Dharmakeerthi, Kulunu, et al.
Published: (2025)

Adaptive and Robust Watermark for Generative Tabular Data
by: Ngo, Dung Daniel, et al.
Published: (2024)

Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience
by: Zhu, Haibei, et al.
Published: (2023)

LLM-driven Imitation of Subrational Behavior : Illusion or Reality?
by: Coletta, Andrea, et al.
Published: (2024)

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
by: Wei, Rongzhe, et al.
Published: (2024)

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models
by: Wei, Rongzhe, et al.
Published: (2023)

Explicit Group Sparse Projection with Applications to Deep Learning and NMF
by: Ohib, Riyasat, et al.
Published: (2019)

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
by: Xiong, Zikai, et al.
Published: (2023)

TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure
by: Kawawa-Beaudan, Maxime, et al.
Published: (2026)

Empirical Equilibria in Agent-based Economic systems with Learning agents
by: Dwarakanath, Kshama, et al.
Published: (2024)

ABIDES-Economist: Agent-Based Simulator of Economic Systems with Learning Agents
by: Dwarakanath, Kshama, et al.
Published: (2024)

Tax Credits and Household Behavior: The Roles of Myopic Decision-Making and Liquidity in a Simulated Economy
by: Dwarakanath, Kshama, et al.
Published: (2024)

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark
by: Fons, Elizabeth, et al.
Published: (2024)

TADACap: Time-series Adaptive Domain-Aware Captioning
by: Fons, Elizabeth, et al.
Published: (2025)

Fair Wasserstein Coresets
by: Xiong, Zikai, et al.
Published: (2023)

On the arithmetic complexity of computing Gröbner bases of comaximal determinantal ideals
by: Gopalakrishnan, Sriram
Published: (2024)

Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
by: Gopalakrishnan, Sriram
Published: (2026)

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation
by: Fons, Elizabeth, et al.
Published: (2025)

Transparency as Delayed Observability in Multi-Agent Systems
by: Dwarakanath, Kshama, et al.
Published: (2024)

Limited or Biased: Modeling Sub-Rational Human Investors in Financial Markets
by: Liu, Penghang, et al.
Published: (2022)

Towards Interpretable Time Series Foundation Models
by: Boileau, Matthieu, et al.
Published: (2025)

TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners
by: de la Rosa, Tomas, et al.
Published: (2024)

On Learning Action Costs from Input Plans
by: Morales, Marianela, et al.
Published: (2024)