PR-374: Fourier Features Let Networks Learn High-Frequency Functions in Low Dimensional Domains

PR-400: Score-based Generative Modeling Through Stochastic Differential Equations

PR-061: Understanding Deep Learning Requires Rethinking Generalization

푸리에는 이렇게 말 안 했다🥴 Fourier Features Let Networks Learn High Frequency in Low Dimension (NIPS 2020)

PR-363: Sketch Your Own GAN

Think Fast, Talk Smart: Communication Techniques

11. Introduction to Machine Learning

Zongyi Li's talk on solving PDEs from data

PR-312: Generative Models as Distributions of Functions

PR-087: Spectral Normalization for Generative Adversarial Networks

[CVPR 2020] Simple but Effective Image Enhancement Techniques

PR-338: Alias-Free Generative Adversarial Networks (StyleGAN3)

PR-302: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (10min talk)

16. Learning: Support Vector Machines

Math Videos: How To Learn Basic Arithmetic Fast - Online Tutorial Lessons

PR-323: Separation and Concentration in Deep Networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

But what is the Fourier Transform? A visual introduction.

Matrix Norm

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