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1. Commits on Oct 3, 2023

   • Introducing Sinkhorn's method, also started to improve LP explanation for Optimal Transport

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2. Commits on Oct 2, 2023

   • Starting with Sinkhorn theorem

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   • Explicit problem mapping for discrete optimal transport, would like to start either sinkhorn iterations for entropic OT or stochasticOT with gradient descent with Aude Genevay work

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3. Commits on Sep 26, 2023

   • Nicer markdown for OT

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4. Commits on Sep 20, 2023

   • Started working on latent graph learning

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5. Commits on Sep 19, 2023

   • Added reference on Nvidia modulus

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   • Added reference on NeuralPDE and GraphOT

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6. Commits on Sep 12, 2023

   • Started small primer on Karhunen Loeve transform

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7. Commits on Aug 22, 2023

   • wip

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8. Commits on Aug 8, 2023

   • WIP

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9. Commits on Jun 19, 2023

   • Leftovers

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10. Commits on Jan 18, 2023

    • Going forward with Diffusion, need to add reference summary

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    • Added few details about Laplacian and domains

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11. Commits on Jan 16, 2023

    • A bit of work on climate paper review + PDE

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12. Commits on Jan 14, 2023

    • Créé avec Colaboratory

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13. Commits on Dec 21, 2022

    • Working on pdes

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14. Commits on Dec 20, 2022

    • Going forward with asteroseismo

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15. Commits on Dec 12, 2022

    • Adding some physics101 topics of interest to be investigated

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    • Added beginner guide do diffusion models

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16. Commits on Oct 17, 2022

    • Started investigating diffusion models for generative approach

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17. Commits on Jun 16, 2022

    • Add note on radiative transport equation

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18. Commits on May 30, 2022

    • Added reference of interest with regard to static code analysis

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19. Commits on May 10, 2022

    • Added Hamiltonian montecarlo to binary code generator

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    • Update on NeuralPDE for Roddier reconstruction, as well as new usecase for absolute encoder

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20. Commits on Dec 6, 2021

    • Starting to work on Maxwell equations

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21. Commits on Dec 5, 2021

    • Just adding some info about basic graph (DAG) algorithm for static scheduling

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22. Commits on Nov 23, 2021

    • Checking out use of ML/DL for static code analysis to discover vulnerabilities

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23. Commits on Nov 18, 2021

    • Merge branch 'master' of github.com:gnthibault/Optimisation-Python

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    • Corrected small typo tob Chi2

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    • Taking a look at Graph attention Networks

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24. Commits on Nov 10, 2021

    • Added gabriel peyre sides for large scale OT in machine learning

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    • Added gabriel peyre sides for large scale OT in machine learning

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25. Commits on Nov 7, 2021

    • updated

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26. Commits on Nov 3, 2021

    • Few fixes on variational inference stuff and ELBO

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27. Commits on Nov 2, 2021

    • Updates to OT

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