| SpTp: Practical AI - 18725 - CS 7180 - 01 |
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Associated Term: Fall 2025 Semester
Registration Dates: Apr 01, 2025 to Sep 16, 2025 Levels: Graduate Attributes: GSCS Computer & Info Science, Topics Course Seattle, WA Campus Lecture Schedule Type Traditional Instructional Method 4.000 Credits View Catalog Entry |
| SpTp:GeomStructre&DeepLearning - 18728 - CS 7180 - 04 |
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Geometric Structure and Deep Learning; Description: This course will cover different examples of geometric structure in deep learning. This will include examples of geometric techniques in deep learning such as graph neural networks, convolutional neural networks, equivariant neural networks, and embeddings into Reimannian manifolds. We will also study generative methods such as normalizing flows, diffusion, and flow matching. Lastly, we study the geometry of the loss landscape. This course will provide students with the mathematical background in group theory, representation theory, and Riemannian geometry necessary to understand geometric deep learning methods.
Associated Term: Fall 2025 Semester Registration Dates: Apr 01, 2025 to Sep 16, 2025 Levels: Graduate Attributes: GSCS Computer & Info Science, Topics Course Boston Campus Lecture Schedule Type Traditional Instructional Method 4.000 Credits View Catalog Entry |
| SpTp: Advanced Perception - 19770 - CS 7180 - 05 |
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Section meets W 5:00pm - 8:20pm ET/ W 2:00pm - 5:20pm PT; open to Vancouver campus/programs
Associated Term: Fall 2025 Semester Registration Dates: Apr 01, 2025 to Sep 16, 2025 Levels: Graduate Attributes: GSCS Computer & Info Science, Topics Course Online Campus Lecture Schedule Type Online Instructional Method 4.000 Credits View Catalog Entry |
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