What is the class format?

In-person lectures on Fridays 3:30pm - 5:20pm in Thornton 110, which are recorded. No homework but there are two exams: a midterm and a final.

When should I take this class?

If you:

• have a solid existing understanding of linear algebra, probability theory and differential equations, alongside basic machine learning concepts
• want to understand how diffusion works and learn about the tricks used in the latest derived architectures
• are interested in understanding ongoing image generation trends

then this class is the perfect fit for you!

Are there exams?

Yes! Exact time and location are as follows:

• Midterm: May 1^st, 2026, 3:30pm - 5:00pm, Thornton 110
• Final: June 8^th, 2026, 7:00pm - 8:30pm, 370-370

Are classes recorded?

Yes! You can find links to the associated recordings posted on YouTube in the syllabus tab.

How to stay tuned of any major update?

You can fill out this form.

Any other questions?

Please directly reach out to us at cme296-spr2526-staff@lists.stanford.edu.