Workshop: Machine Learning for Creativity and Design 4.0

Luba Elliott, Sander Dieleman, Adam Roberts, Tom White, Daphne Ippolito, Holly Grimm, Mattie Tesfaldet, Samaneh Azadi

2020-12-12T05:15:00-08:00 - 2020-12-12T15:00:00-08:00
Abstract: Generative machine learning and machine creativity have continued to grow and attract a wider audience to machine learning. Generative models enable new types of media creation across images, music, and text - including recent advances such as StyleGAN2, Jukebox and GPT-3. This one-day workshop broadly explores issues in the applications of machine learning to creativity and design. We will look at algorithms for generation and creation of new media, engaging researchers building the next generation of generative models (GANs, RL, etc). We investigate the social and cultural impact of these new models, engaging researchers from HCI/UX communities and those using machine learning to develop new creative tools. In addition to covering the technical advances, we also address the ethical concerns ranging from the use of biased datasets to replicating artistic work. Finally, we’ll hear from some of the artists and musicians who are adopting machine learning including deep learning and reinforcement learning as part of their own artistic process. We aim to balance the technical issues and challenges of applying the latest generative models to creativity and design with philosophical and cultural issues that surround this area of research.

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Schedule

2020-12-12T05:15:00-08:00 - 2020-12-12T05:30:00-08:00
Introduction and Art Gallery Overview
Luba Elliott
2020-12-12T05:30:00-08:00 - 2020-12-12T06:30:00-08:00
Poster Session 1
2020-12-12T06:30:00-08:00 - 2020-12-12T06:56:00-08:00
Farewell to Fart: Working with generated text in the age of huge neural nets
Janelle Shane
2020-12-12T06:56:00-08:00 - 2020-12-12T07:21:00-08:00
Artist+AI: Figures&Form
Scott Eaton
2020-12-12T07:21:00-08:00 - 2020-12-12T07:40:00-08:00
Artificial biodiversity
Sofia Crespo
2020-12-12T07:40:00-08:00 - 2020-12-12T08:00:00-08:00
Art Showcase 1
Luba Elliott
2020-12-12T08:00:00-08:00 - 2020-12-12T08:30:00-08:00
Panel Discussion 1
Luba Elliott, Janelle Shane, Sofia Crespo, Scott Eaton, Adam Roberts, Angela Fan
2020-12-12T08:30:00-08:00 - 2020-12-12T09:15:00-08:00
Social 1
2020-12-12T09:15:00-08:00 - 2020-12-12T09:46:00-08:00
magenta: Empowering Creative Agency with Machine Learning
Jesse Engel
2020-12-12T09:46:00-08:00 - 2020-12-12T10:20:00-08:00
Art Showcase 2
Holly Grimm
2020-12-12T10:20:00-08:00 - 2020-12-12T10:47:00-08:00
Computation and the Human Visual Perception of Art
Aaron Hertzmann
2020-12-12T10:47:00-08:00 - 2020-12-12T11:09:00-08:00
LIGHT: Language in Games with Humans and Text
Angela Fan
2020-12-12T11:09:00-08:00 - 2020-12-12T11:35:00-08:00
Not the Only One
Stephanie Dinkins
2020-12-12T11:35:00-08:00 - 2020-12-12T11:50:00-08:00
Art Showcase 1
Luba Elliott
2020-12-12T11:50:00-08:00 - 2020-12-12T12:00:00-08:00
Audio-reactive Latent Interpolations with StyleGAN
Hans Brouwer
2020-12-12T12:00:00-08:00 - 2020-12-12T12:10:00-08:00
Towards realistic MIDI instrument synthesizers
Rodrigo Castellon
2020-12-12T12:10:00-08:00 - 2020-12-12T12:20:00-08:00
Creative Sketch Generation
Songwei Ge
2020-12-12T12:20:00-08:00 - 2020-12-12T12:30:00-08:00
Agence: an interactive film exploring multi-agent systems and human agency
Dante Camarena
2020-12-12T12:30:00-08:00 - 2020-12-12T12:45:00-08:00
Art Showcase 2
Holly Grimm
2020-12-12T12:45:00-08:00 - 2020-12-12T13:45:00-08:00
Poster Session
2020-12-12T13:45:00-08:00 - 2020-12-12T14:15:00-08:00
Panel Discussion 2
Tom White, Jesse Engel, Aaron Hertzmann, Stephanie Dinkins, Holly Grimm
2020-12-12T14:15:00-08:00 - 2020-12-12T15:00:00-08:00
Social 2
Generating Novel Glyph without Human Data by Learning to Communicate
Seung-won Park
Mask-Guided Discovery of Semantic Manifolds in Generative Models
Mengyu Yang
Transformer-GAN: Symbolic music generation using a learned loss
aashiq Muhamed
TräumerAI: Dreaming Music with StyleGAN
Dasaem Jeong
Latent Compass
Sarah Schwettmann
Randomized Overdrive Neural Networks
Christian Steinmetz
Painting from Music using Neural Visual StyleTransfer
Prateek Verma, Ingrid Odlen, pamela Davis kivelson, Constantin Basica
Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains
Justin Pinkney
A Speech-Based Music Composition Tool with Transformer
Jason d'Eon
Copyspace: Where to Write on Images
Jessica Lundin
Text to Dialog: Using Semantic Similarity to Extend Narrative Immersion in Virtual Worlds
Sherol Chen
White-box Audio VST Effect Programming
Christopher Mitcheltree
Behaviour Aesthetics of Reinforcement Learning in a Robotic Art Installation
Sofian Audry, Rosalie D Gagne, Hugo Scurto
Choreo-Graph: Learning Latent Graph Representations of the Dancing Body
Mariel Pettee
Latent Space Oddity: Exploring Latent Spaces to Design Guitar Timbres
Jason Taylor
Weird AI Yankovic: Generating Parody Lyrics
Mark Riedl
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN
Jinggang Zhuo
Neural Style Transfer for Casual Creation
Simon Colton
Colorization Transformer
Manoj Kumar
Image Generation With Neural Cellular Automatas
Mingxiang Chen
GANterpretations
Pablo Samuel Castro
Spatial Assembly:Generative Architecture With Reinforcement Learning, Self Play and Tree Search
Panagiotis Tigas
LiveGAN
Cameron Smith
Diptychs of human and machine perceptions
Vivien Cabannes
Horses With Blue Jeans - Creating New Worlds by Rewriting a GAN
David Bau
Network Bending Neural Vocoders
Louis McCallum
Musical Diary - AI Application for Music Making and Journaling
Suyash Joshi
A Note on Data Biases in Generative Models
Patrick Esser