SARS-CoV-2 (COVID-19) Infection Fatality Rate [medRxiv:2020.11.19.20235036]
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Updated
Nov 25, 2020 - Python
SARS-CoV-2 (COVID-19) Infection Fatality Rate [medRxiv:2020.11.19.20235036]
Benchmark of several algorithms to solve the quadratically and entropically regularized optimal transportation problem on graphs. Implementation from scratch of the method described in: https://arxiv.org/abs/1704.08200
Wasserstein barycenter research for images
Code for the paper Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds.
code for "Prototypical Partial Optimal Transport for Universal Domain Adaptation" (AAAI 2023)
Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".
Implementation of DETR in JAX
A cost effective solution to allocate shipments to distribution Hubs.
Implementation of gradient-based partial optimal transport solvers (AAAI 2024)
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
Xiaoyang Song's Research with Dr. Wenbo Sun, Prof. Raed AI Kontar and Prof. Judy Jin from University of Michigan. This research focus on Out-of-Distribution Computer Vision data generation and detection.
Fast and exact methods for image-based Multimarginal Optimal Transport (MMOT) problems
A Graph Optimal Transport Python Package
Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.
MongeNet sampler official implementation
GGOT: A Gaussian graphical optimal transport method to detecting disease tipping points
Improving word mover’s distance by leveraging self-attention matrix
Entropy-regularized Optimal Transport Generative Models
Implementation for the paper: "Privacy-preserving data release leveraging optimal transport and particle gradient descent"
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