publications

publications by categories in reversed chronological order.

2026

  1. CVaR-WGF
    Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows
    Thejani Gamage, Hyemin Gu, Zhizhen Zhang, Ziyu Chen, Markos A. Katsoulakis, and Luc Rey-Bellet
    2026
    arXiv
  2. Stable-ResNet
    Sharp Stability Threshold and Certification for Designing Stable Residual Architectures
    Hyemin Gu, Michael Tyrrell, Tuhin Sahai, and Markos A. Katsoulakis
    2026
    arXiv
  3. PROFET
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    PROFET Predicts Continuous Gene Expression Dynamics from scRNA-seq Data to Elucidate Heterogeneity of Cancer Treatment Responses
    Yu-Chen Cheng, Hyemin Gu, Markos A. Katsoulakis, Franziska Michor, and  others
    Cell Systems, accepted, 2026
    bioRxiv Code
  4. ISOMORPH
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    ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks
    Zhizhen Zhang, Hyemin Gu, Markos A. Katsoulakis, Tuhin Sahai, and  others
    2026
    arXiv Demo Code

2025

  1. Robust-alpha-Div
    Robust Generative Learning with Lipschitz-Regularized α-Divergences Allows Minimal Assumptions on Target Distributions
    Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, and Wei Zhu
    Information and Inference: A Journal of the IMA, 2025
    arXiv DOI Code

2024

  1. W-Proximals
    Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
    Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, and Benjamin J. Zhang
    2024
    arXiv Code
  2. GPA
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    Lipschitz-Regularized Gradient Flows and Generative Particle Algorithms for High-Dimensional Scarce Data
    Hyemin Gu, Panagiota Birmpa, Yannis Pantazis, Luc Rey-Bellet, and Markos A. Katsoulakis
    SIAM Journal on Mathematics of Data Science, 2024
    arXiv DOI Code