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Course Schedule

Paper reading list and presenters

Jan. 27, Tue
Course Overview (Slides)
Chen
  1. How to Read a CS Research Paper by Philip Fong
  2. How to do research by Bill Freeman
  3. How to do write a good paper by Bill Freeman
  4. Novelty in Science by Michael Black
  5. How to speak (video) by Patrick Winston
Jan. 29, Thu
Deep Learning Recap (Slides)
Chen
Feb. 3, Tue
The Unreasonable Effectiveness of Data (Slides)
Chen
Feb. 5, Thu
Visual Concepts (Slides)
Chen
Feb. 5, Thu
Due Presentation signup sheet
Feb. 10, Tue
Overview of Multimodal LLMs (Slides)
Zitian Tang
Feb. 12, Thu
Generative AI for Robot Learning (Slides)
Zilai Zeng
Feb. 19, Thu
Flow Matching and Normalizing Flows (Slides)
Dr. Calvin Luo
Feb. 19, Thu
MP Mini Project
Due on March 12
  1. Mini Project Handout
  2. Submission Form
Feb. 24, Tue
Teaching Video Models to Understand Physics Control (Slides)
Nate Gillman
Feb. 26, Thu
INVITED Learning World Models and Agents for High-Cost Environments
Prof. Sherry Yang
May 8, Fri
Final project presentations (Lubrano 1 to 4 pm) (Slides)
May 11, Mon
Due Project submission (Form)