Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Online Sinkhorn: Optimal Transport distances from sample streams
Authors: Arthur Mensch, Gabriel Peyré
NeurIPS 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We validate our method on synthetic 1-d to 10-d data and on real 3-d shape data. |
| Researcher Affiliation | Academia | Arthur Mensch PSL University CNRS, ENS, DMA Paris, France EMAIL Gabriel Peyré PSL University CNRS, ENS, DMA Paris, France EMAIL |
| Pseudocode | Yes | Algorithm 1 Online Sinkhorn |
| Open Source Code | No | The paper does not provide a concrete access link or statement about open-sourcing the code for the methodology. |
| Open Datasets | Yes | Stanford 3D scans Turk and Levoy, 1994 |
| Dataset Splits | No | The paper does not specify exact split percentages or methods for validation datasets beyond general use of samples. |
| Hardware Specification | No | The paper does not specify the hardware used for experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | Yes | We report quantitative results for ε = 10 2 and non fully-corrective online Sinkhorn in the main text, and all other curves in Supp. Fig. 4. In Supp. Fig. 7, we also report results for OT between Gaussians, which is a simpler and less realistic setup, but for which closed-form expressions of the potentials are known Janati et al., 2020. ... We use n(t) = N 100(1 + 0.1t)1/2 results vary little with the exponent. |