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About Ari Seff
I'm a research scientist at Waymo. Previously I completed a PhD at Princeton in machine learning. I’m using this channel to make short tutorials about various ML or related math topics. Stay tuned for new videos!
Recent Videos from Ari Seff
What are Diffusion Models?
This short tutorial covers the basics of diffusion models, a simple yet expressive approach to generative modeling. They've been behind a recent string of impressive results, including OpenAI's DALL-E 2 and Google's Imagen.
Errata:
At 12:39, parentheses are missing around the difference: \epsilon(… What are Transformer Neural Networks?
This short tutorial covers the basics of the Transformer, a neural network architecture designed for handling sequential data in machine learning.
Timestamps:
0:00 - Intro
1:18 - Motivation for developing the Transformer
2:44 - Input embeddings (start of encoder walk-through)
3:29 - Attention
6:29… Why do random walks get lost in 3D?
In this video, we try to gain some intuition for why symmetric random walks are recurrent in 1 and 2D, but transient in 3D. This was proved by mathematician George Pólya in 1921.
Links for further reading:
Awesome demos of random walks by Russell Lyons (https://rdlyons.pages.iu.edu/rw/rw.html)
Ana…