Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
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Updated
May 8, 2022 - Jupyter Notebook
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
[ICLR 2026] JAX implementation of the iJKOnet method
Reconstructs continuous gene expression dynamics from static scRNA-seq snapshots using Wasserstein gradient flows and a particle-based explicit method. Applied to EMT, stem cell differentiation, and breast cancer treatment response.
[UAI'26] Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation
Discretized Wasserstein Particle Flows of a MMD-regularized f-divergence functional.
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