Published in ACM Transactions on Modeling and Computer Simulation, 2023
A neural network approach for learning to simulate sequentially generated data using Wasserstein training.
Published in Journal of Mathematical Economics, 2023
Theoretical analysis of consumption function concavity in economic models with habit formation.
Published in International Conference on Machine Learning (ICML), 2025
A novel approach for controllable symbolic music generation using diffusion models with fine-grained guidance.
Published in Winter Simulation Conference (WSC), 2024
Using LLMs to assist experiment design through generative human-behavior agents.
Under major revision at Operations Research, 2024
A diffusion model approach for generating heavy-tailed conditional distributions. Under major revision at Operations Research.
arXiv Preprint, 2024
A benchmark for evaluating Large Language Models on interactive data analysis tasks.
arXiv Preprint, 2024
A structured approach to diffusion models using mixture of Gaussians as prior distribution.