2026 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 Code Stable-ResNet Certifying Residual Architectures from Their Primitives: A Sharp Stability Threshold Hyemin Gu, Michael Tyrrell, Tuhin Sahai, and Markos A. Katsoulakis 2026 arXiv PROFET 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, 2026 bioRxiv DOI Code ISOMORPH 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 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 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 GPA 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
