MIT 6.S192: Deep Learning for Art, Aesthetics, and Creativity     

Painting: Inspired by universal interconnectedness, inner transformation and neural networks, Natalia Wrobel, "There is a Universe Inside of You II," 2018, oil paint on canvas, 48" x 39", www.nataliaswrobel.com


Session # Date Speaker(s) Materials
1 Friday
1/15/2021

Computational Aesthetics, Design, Art
Learning by Generating
Ali Jahanian
Research Scientist at MIT [instructor and organizer of this course]

 slides

 video
2 Tuesday
1/19/2021

Generative Models as Data++
Phillip Isola
Assistant professor at MIT

Nostalgia -> Art -> Creativity -> Evolution as Data + Direction
Alyosha Efros
Professor at UC Berkley

video (Phillip)
video (Alyosha)
3 Wednesday
1/20/2021

Efficient GANs
Jun-Yan Zhu
Assistant Professor, School of Computer Science, Carnegie Mellon University

video
4 Wednesday
1/20/2021

The Art Of Deception - Encountering Perception as a Creative Material
Shiry Ginosar
Computing Innovation Postdoctoral Fellow, UC Berkeley

video
5 Thursday
1/21/2021

Painting with the Neurons of a GAN
David Bau
PhD Candidate

video
6 Friday
1/22/2021

Explorations in AI for Creatvity
Devi Parikh
Associate Professor at Georgia Tech
Research Scientist at Facebook AI Research(FAIR)

video
7 Friday
1/22/2021

The Shape of Art History in the Eyes of the Machine
Ahmed Elgammal
Professor at the Department of Computer Science at Rutgers University.

video
8 Monday
1/25/2021

How Machine Learning Can Benefit Human Creators
Dr.Rebecca Fiebrink
Reader at the Creative Computing Institute, University of the Arts London

video
9 Monday
1/25/2021

Neural Abstractions
Tom White
Lecturer teaching computational design and creative AI at the Victoria University of Wellington School of Design.

video
10 Tuesday
1/26/2021

Magenta: Empowering creative agency with machine learning
Jesse Engel
Staff Research Scientist, Google Brain

video
11 Tuesday
1/26/2021

Artificial Biodiversity
Sofia Crepso
Computational Artist

Artificial Biodiversity
Feileacan McCormick
Computational Artist

video
12 Wednesday
1/27/2021

AI+Creativity, an Art Nerd's Perspective
Jason Bailey
Founder at Artnome.com

video
13 Wednesday
1/27/2021

Surfacs, Objects, Procedures: Integrating Learning and Graphics for 3D Scene Understanding
Jiajun Wu
Assistant Professor, Stanford University

video
14 Thursday
1/28/2021

Towards Creating Endlessly Creative Open-Ended Innovation Engines
Jeff Clune
Associate Professor, Computer Science, University of British Columbia, and Research Team Leader, OpenAI

video
15 Thursday
1/28/2021

Creative-Networks
Joel Simon
Joel Simon is an artist, researcher and toolmaker inspired by the systems of biology and creativity

video
16 Friday
1/22/2021

Human Visual Perception of Art as Computation
Aaron Hertzmann
Principal Scientist, Adobe

video (Part I [00:56 to 17:41])
video (Part II)
17 Friday
1/22/2021

Using AI in the service of Graphic Design
Zoya Bylinskii
Research Scientist, Creative Intelligence Lab, Adobe

video
18 Friday
1/14/2022

Dreaming and Imagination of AI
Ali Jahanian
Research Scientist at MIT CSAIL [instructor and organizer of this course]

 slides

 video
19 Tuesday
1/18/2022

Easy 3D Content Creation with Consistent Neural Fields
Ajay Jain
Doctoral student (Ph.D.), UC Berkeley

video
20 Wednesday
1/19/2022

Generative Art Using Diffusion
Prafulla Dhariwal
Research Scientist, OpenAI

video
21 Thursday
1/20/2022

Between Art, Mind, & Machines
Sarah Schwettmann
PostDoc in MIT CSAIL

video
22 Friday
1/21/2022

Diffusion Probabilistic Models
Jascha Sohl-Dickstein
Senior Staff Research Scientist in the Brain Group at Google

video
More resources for implemenation:

- Code and paper for the assignment

- Pytorch coding by David Bau

- MIT 6.S191 Intro to deep learning

- Stanford Convolutional neural networks course

- MIT Advanced computer vision course

- Coursera Deep learning

MIT Accessibility