Computational Creativity

ECSE 4966/6966, Rensselaer Polytechnic Institute, Spring 2025

RPI students can view class notes from each lecture by clicking the ✏️ emojis and watch Mediasite video recordings by clicking the 🎥 emojis. Outside visitors can follow along with the Youtube playlist here.

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Introduction and Background

Tue Jan 7

LEC 1 Introduction to generative modeling

Tue Jan 7

HW 0 HW 0 released (due Friday 1/17)

Fri Jan 10

LEC 2 Algorithms for making art, 1960-2010

Tue Jan 14

HW 1 HW 1 released (due Friday 1/31)

Tue Jan 14

LEC 3 Probability and machine learning review

Fri Jan 17

LEC 4 Deep learning crash course

Fri Jan 17

Due HW 0 due

Variational autoencoders

Tue Jan 21

LEC 5 Variational autoencoders (VAEs)

Fri Jan 24

LEC 6 VQ-VAEs and image quality metrics

Generative Adversarial Networks (GANs)

Tue Jan 28

LEC 7 Generative Adversarial Networks (GANs)

Fri Jan 31

LEC 8 Advanced GANs (e.g., ProGAN, StyleGAN, GANSpace)

Fri Jan 31

DUE HW 1 due

Tue Feb 4

LEC 9 Image-to-Image GANs (e.g., CycleGAN, pix2pix); GAN artists

Tue Feb 4

HW 2 HW 2 released (due Friday 2/21)

Various generative models

Fri Feb 7

LEC 10 DeepDream and neural style transfer

Tue Feb 11

LEC 11 Denoising diffusion models

Fri Feb 14

LEC 12 Normalizing flow models

Tue Feb 18

No class Monday schedule

Fri Feb 21

DUE HW 2 due