Measure the distance between two spectra/signals using optimal transport and related metrics
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Updated
Apr 27, 2026 - Julia
Measure the distance between two spectra/signals using optimal transport and related metrics
GPU-accelerated Soft Dynamic Time Warping (SoftDTW) for PyTorch. Differentiable loss function with ~98% memory savings via fused CUDA kernels, arbitrary sequence lengths, and log-space numerical stability.
PyTorch implementation of "Wasserstein Iterative Networks for Barycenter Estimation" (NeurIPS 2022)
Code for our TMLR '24-ICLR '25 work: MMD-Regularized UOT.
A typical binary star system which is studied in the stellar astrophysics
Barycenter preserving measure reduction in JAX
Implementation of Van Dijcke, David. "Regression Discontinuity Design with Distribution-Valued Outcomes." Manuscript.
graph layout in C with sugiyama barycenter layout
Optimal transport for comparing short brain connectivity between individuals | Optimal transport | Wasserstein distance | Barycenter | K-medoids | Isomap| Sulcus | Brain
Master project: Bures-Wasserstein barycenters
Solution à l'exercice Power of Thor 2 proposé par la plateforme Codingame.
Locating (for the lols) Sardinia centroid/barycenter
Continuous Random Variable Generator
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