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  2. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/ASTARTalk2023.pdf
    15 Jan 2023: Slide 21. Slide 22. Slide 23. Slide 24. Slide 25. Slide 26.
  3. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/EMMCTalk2023.pdf
    28 Apr 2023: Slide 20. Slide 21. Slide 22. Slide 23. Slide 24. Slide 25.
  4. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/UKMMNTalk2023.pdf
    3 Apr 2023: Slide 22. Slide 23. Slide 24. Slide 25. Slide 26. Slide 27.
  5. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/FinlandTalk2023.pdf
    2 Mar 2023: Slide 24. Slide 25. Slide 26. Slide 27. Slide 28. Slide 29.
  6. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/CICECOTalk2023.pdf
    27 Jun 2023: Slide 20. Slide 21. Slide 22. Slide 23. Slide 24. Slide 25.
  7. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/CICECODoctoralTalk2023.pdf
    29 Sep 2023: Slide 24. Slide 25. Slide 26. Slide 27. Slide 28. Slide 29.
  8. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/PhysicsByTheLakeTalk2023.pdf
    22 Aug 2023: Slide 24. Slide 25. Slide 26. Slide 27. Slide 28. Slide 29.
  9. Imputation of Assay Bioactivity Data Using Deep Learning

    www.tcm.phy.cam.ac.uk/~gjc29/papers/WhiteheadIrwinHuntSegallConduit19.pdf
    31 Mar 2023: in the extrapolation of the training data.24,25 This isconceptually similar to the approach taken to uncertaintyestimation in ensemble models, although here the underlyingmodel is a deep neural network and ... 1. Introduction to Methodology and Encoding
  10. Unveil the unseen: Exploit information hidden in noise

    www.tcm.phy.cam.ac.uk/~gjc29/papers/ZviazhynskiConduit22.pdf
    23 May 2023: Furthermore, the uncertainty is useful foraccelerating materials discovery by guiding where newexperiments should be performed in the materials space[22–24], and also for the identification of outliers anderroneous entries in
  11. Phase Transitions and Collective Phenomena

    www.tcm.phy.cam.ac.uk/~achc2/phase/notes.pdf
    4 Jan 2023: Phase Transitions and CollectivePhenomena. Anson Cheungachc2@cam.ac.uk. January 2023. ii. Preface. The fundamental goal of statistical mechanics is to provide a framework in which themicroscopic probabilistic description of systems with large

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