papers
Publications (9)
cs.NE2017
A Neural Representation of Sketch Drawings
David Ha, Douglas Eck
cs.NE2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell +5
cs.LG2016
HyperNetworks
David Ha, Andrew Dai, Quoc V. Le
cs.CV2019
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck +1
cs.LG2018
Recurrent World Models Facilitate Policy Evolution
David Ha, Jürgen Schmidhuber
cs.LG2019
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
cs.CV2018
Deep Learning for Classical Japanese Literature
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto +3
cs.LG2018
World Models
David Ha, Jürgen Schmidhuber
cs.LG2018
Learning via social awareness: Improving a deep generative sketching model with facial feedback
Natasha Jaques, Jennifer McCleary, Jesse Engel +4