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1 - 10 of 58 search results for TALK:PC53 20 |u:mlg.eng.cam.ac.uk where 0 match all words and 58 match some words.

  1. Results that match 1 of 2 words

  2. Posts by Tag · Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/posts-by-tag
    12 Apr 2024: Diffusion Model. 20 January 2024. An introduction to Flow Matching. ByFlow matching (FM) is a new generative modelling paradigm which is rapidly gaining popularity in the deep learning community. ... Pierre-Simon Laplace (1749–1827). Generative

  3. Photo competition entries from the group featured in The Telegraph |…

    https://mlg.eng.cam.ac.uk/news/photo-competition-entries-from-the-group-featured-in-the-telegraph/
    3 Jul 2024: Nov 20, 2014. Two entries from the group into the 2014 Engineering Department Photo Competition are featured in The Telegraph.

  4. Uprooting and Rerooting Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/puproot.pdf
    19 Jun 2024: 5. 10. 15. 20. 25Original MMworstmaxWmaxtWbest. maximum edge strength Wmax. 2 4 8 12 160. ... 20. 40. 60. 80. 100Original MMworstmaxWmaxtWbest. low singleton θi [0.1, 0.1] medium singleton θi [2, 2] singleton edge potentials scale together.

  5. Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/
    12 Apr 2024: 20 January 2024. An introduction to Flow Matching. ByFlow matching (FM) is a new generative modelling paradigm which is rapidly gaining popularity in the deep learning community.

  6. Understanding the Bethe Approximation: When and How can it go Wrong?

    https://mlg.eng.cam.ac.uk/adrian/pabc.pdf
    19 Jun 2024: true values. 2 8 16 24 320. 20. 40. 60. 80.

  7. Clamping Improves TRW and Mean Field Approximations

    https://mlg.eng.cam.ac.uk/adrian/pclamp-aistats.pdf
    19 Jun 2024: 5. 0. 5. 10. 15. 20. 25. best. worst. pseudo. greedy. ... 20. 30. 40. best. worst. pseudo. greedy. TRW. Bethe. Mean Field.

  8. Uprooting and Rerooting Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/slides_uproot.pdf
    19 Jun 2024: 5. 10. 15. 20. 25Original MMworstmaxWmaxtWbest. maximum edge strength Wmax. 2 4 8 12 160. ... 15. 20. 25. 30. 35Original MMworstmaxWmaxtWbest. low θi [0.1, 0.1] medium θi [2, 2].

  9. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf
    19 Jun 2024: Note regular singleton. potentials. 2 4 8 12 160. 10. 20. ... 2 4 8 12 160. 5. 10. 15. 20. 25. 30.

  10. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf
    19 Jun 2024: 20. 30. 40. best. worst. pseudo. greedy. attractive K15, [0, 6] mixed K15, [6, 6]. ... 20. 40. 60. 80. 100. best. worst. pseudo. greedy. mixed K15, [6, 6] mixed K15, [12, 12].

  11. Penney Ante

    https://mlg.eng.cam.ac.uk/adrian/Penney.pdf
    19 Jun 2024: Yes. Let S1 =‘HTHH’, S2 =‘THTH’ then t1 = 18, t2 = 20 butprob(THTH before HTHH)= 914 64%.

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