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update with new dates
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doc/src/week12/week12.do.txt

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: April 10, 2025
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DATE: April 16, 2026
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!split
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===== Plans for the week April 7-11, 2025 =====
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===== Plans for the week April 13-17, 2026 =====
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!bblock Generative methods, energy models and Boltzmann machines
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o Summary of discussions on Restricted Boltzmann machines, reminder from last week
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o Introduction to Variational Autoencoders (VAEs), basic mathematical formalims
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o "Video of lecture":"https://youtu.be/Mm9Xasy8qNw"
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o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesApril10.pdf"
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#o "Video of lecture":"https://youtu.be/Mm9Xasy8qNw"
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#o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesApril10.pdf"
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!eblock
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doc/src/week13/week13.do.txt

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: April 24, 2025
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DATE: April 23, 2026
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!split
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===== Plans for the week April 21-25, 2025 =====
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===== Plans for the week April 20-24, 2026 =====
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!bblock Deep generative models
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o Discussion of project 2
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o Goodfellow et al sections 20.10-20-14 on VAEs
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o Calvin Luo URL:"https://calvinyluo.com/2022/08/26/diffusion-tutorial.html"
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o An Introduction to Variational Autoencoders, by Kingma and Welling, see URL:"https://arxiv.org/abs/1906.02691"
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o Video of lecture at URL:"https://youtu.be/t5zb7RhBUwA"
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o Whiteboard notes at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesApril24.pdf"
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#o Video of lecture at URL:"https://youtu.be/t5zb7RhBUwA"
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#o Whiteboard notes at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesApril24.pdf"
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!eblock
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doc/src/week14/week14.do.txt

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway & Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan, USA
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DATE: April 23, 2024
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: April 30, 2026
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!split
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===== Plans for the week April 22-26, 2024 =====
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===== Plans for the week April 27-May 1, 2026 =====
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!bblock Deep generative models
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o Discussion of project 2
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o Goodfellow et al chapter 20.10-20-14
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o Calvin Luo URL:"https://calvinyluo.com/2022/08/26/diffusion-tutorial.html"
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o An Introduction to Variational Autoencoders, by Kingma and Welling, see URL:"https://arxiv.org/abs/1906.02691"
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o "Video of lecture":"https://youtu.be/tkOweMYCMVg"
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o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesApril23.pdf"
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#o "Video of lecture":"https://youtu.be/tkOweMYCMVg"
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#o "Whiteboard notes":"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesApril23.pdf"
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doc/src/week15/week15.do.txt

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: May 8, 2025
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DATE: May 7, 2026
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!split
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===== Plans for the week of May 5-9, 2025 =====
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===== Plans for the week of May 4-8, 2026 =====
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!bblock Deep generative models
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o Mathematics of diffusion models and selected examples
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o Video of lecture at URL:"https://youtu.be/ibJ8HksRzv4"
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o Whiteboard notes at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMay8.pdf"
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#o Video of lecture at URL:"https://youtu.be/ibJ8HksRzv4"
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#o Whiteboard notes at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMay8.pdf"
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doc/src/week16/week16.do.txt

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: May 15
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DATE: May 14
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!split
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===== Plans for the week of May 12-16, 2025 =====
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===== Plans for the week of May 11-15, 2026 =====
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!bblock Generative models
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o Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)
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o Generative Adversarial Networks, see URL:"https://lilianweng.github.io/posts/2017-08-20-gan/" for nice overview
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o A summary of the course will be made available in the form of a video. The summary material can also be viewed at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17" in various formats (pdf, jupyter-notebook or html formats).
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o Video of lecture at URL:"https://youtu.be/-RppFI0QX7k"
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o Whiteboard notes at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMay15.pdf"
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#o Video of lecture at URL:"https://youtu.be/-RppFI0QX7k"
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#o Whiteboard notes at URL:"https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMay15.pdf"
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doc/src/week17/week17.do.txt

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TITLE: Advanced machine learning and data analysis for the physical sciences
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics and Center for Computing in Science Education, University of Oslo, Norway
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DATE: May 22, 2025
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DATE: May 21, 2025
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!split
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===== Plans for the week of May 19-23, 2025 =====
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===== Plans for the week of May 18-22, 2026 =====
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!bblock Summary of course
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We have covered

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