I am interested in making a contribution to Emedded Optimal Transport by extending some of the low dimensional encoding techniques to Optimal Transport. This is the first of my projects to learn the computational literature and techniques

You can visit my code: (https://github.com/EvanMisshula/variational-encoder)

🧠 What Is a …

Roadmap to Become a Machine Learning Researcher Focused on Embedded Optimal Transport

🧠 Phase 1: Mathematical and Theoretical Foundations

Goal: Build deep fluency in the theory that underpins optimal transport, geometric learning, and high-dimensional data analysis.

Core Topics

• Measure theory & probability

• “Probability with Martingales” (Williams)

• “High-Dimensional Probability” (Vershynin)
• Linear algebra & matrix …