Author

Zhizhen Zhang

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#machine learning Preprint Aug 2026

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows

We propose CVaR-penalized Generative Particle Algorithm (CVaR-GPA), a robust, tail-agnostic algorithm for fine-tuning generative models to learn heavy-tailed distributions and capture extreme events, requiring no prior knowledge or estimation of the target's tail characteristics. The method is the Wasserstein gradient...

T. Gamage, Hyemin Gu, Zhizhen Zhang et al. · 0 citations

#machine learning May 2026

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks

This work introduces ISOMORPH, the first public digital twin of a multi-echelon logistics network with interpretable, user-configurable parameters and modular topology, demand, and control rules, and introduces forecasting regimes that differ from standard real-world TSF benchmarks.

Zhizhen Zhang, Hyemin Gu, Benjamin J. Zhang et al. · arXiv.org · 0 citations