Wasserstein GAN 수학 이해하기 I

Sungbin Lim (임성빈) — slides

3Blue1Brown

Grant Sanderson

But what is the Fourier Transform? A visual introduction. — written version

Gregory Gundersen

The Reparameterization Trick

Chris Olah

Zoom In: An Introduction to Circuits — Chris Olah, Nick Cammarata, Ludwig Schubert, Gabriel Goh, Michael Petrov, and Shan Carter.

Understanding RL Vision — Jacob Hilton, Nick Cammarata, Shan Carter, Gabriel Goh, and Chris Olah.

Michael Bronstein

Deriving convolution from first principles

Sapientia a Dei

왜 어려울까? — 통계 공부가 어려웠던 이유

어떤 사건이 “우연히” 발생할 확률은 얼마일까?

Helped me understand what it means by “random”

Aleksa Gordić

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

I liked how he studies a concept and explain stuffs.

Jeremy Kun

Markov Chain Monte Carlo Without all the Bullshit

Pieter Abbeel

L3 Policy Gradients and Advantage Estimation (Foundations of Deep RL Series)

this list will grow. slowly.