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doc/pub/week16/html/week16-bs.html

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<div class="panel-body">
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<ol>
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<li> Mathematics of diffusion models and selected examples</li>
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<li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_self"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview
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<li> Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)</li>
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<li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_self"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview</li>
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<li> A summary of the course will be made available in the form of a video. The summary material can also be viewed at <a href="https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17" target="_self"><tt>https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17</tt></a> in various formats (pdf, jupyter-notebook or html formats).
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<!-- o <a href="https://youtu.be/lYgKGCQRUhQ" target="_self">Video of lecture</a> -->
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<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMay7.pdf" target="_self">Whiteboard notes</a> --></li>
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doc/pub/week16/html/week16-reveal.html

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<b>Generative models</b>
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<p>
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<ol>
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<p><li> Mathematics of diffusion models and selected examples</li>
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<p><li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_blank"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview
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<p><li> Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)</li>
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<p><li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_blank"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview</li>
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<p><li> A summary of the course will be made available in the form of a video. The summary material can also be viewed at <a href="https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17" target="_blank"><tt>https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17</tt></a> in various formats (pdf, jupyter-notebook or html formats).
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<!-- o <a href="https://youtu.be/lYgKGCQRUhQ" target="_blank">Video of lecture</a> -->
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<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMay7.pdf" target="_blank">Whiteboard notes</a> --></li>
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</ol>

doc/pub/week16/html/week16-solarized.html

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<b>Generative models</b>
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<p>
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<ol>
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<li> Mathematics of diffusion models and selected examples</li>
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<li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_blank"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview
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<li> Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)</li>
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<li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_blank"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview</li>
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<li> A summary of the course will be made available in the form of a video. The summary material can also be viewed at <a href="https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17" target="_blank"><tt>https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17</tt></a> in various formats (pdf, jupyter-notebook or html formats).
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<!-- o <a href="https://youtu.be/lYgKGCQRUhQ" target="_blank">Video of lecture</a> -->
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<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMay7.pdf" target="_blank">Whiteboard notes</a> --></li>
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</ol>

doc/pub/week16/html/week16.html

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<b>Generative models</b>
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<p>
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<ol>
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<li> Mathematics of diffusion models and selected examples</li>
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<li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_blank"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview
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<li> Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)</li>
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<li> Generative Adversarial Networks, see <a href="https://lilianweng.github.io/posts/2017-08-20-gan/" target="_blank"><tt>https://lilianweng.github.io/posts/2017-08-20-gan/</tt></a> for nice overview</li>
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<li> A summary of the course will be made available in the form of a video. The summary material can also be viewed at <a href="https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17" target="_blank"><tt>https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17</tt></a> in various formats (pdf, jupyter-notebook or html formats).
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<!-- o <a href="https://youtu.be/lYgKGCQRUhQ" target="_blank">Video of lecture</a> -->
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<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMay7.pdf" target="_blank">Whiteboard notes</a> --></li>
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</ol>
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