David Ha
David Ha
Google Brain
Verified email at google.com - Homepage
TitleCited byYear
D Ha, A Dai, QV Le
Fifth International Conference on Learning Representations (ICLR 2017), 2016
Pathnet: Evolution channels gradient descent in super neural networks
C Fernando, D Banarse, C Blundell, Y Zwols, D Ha, AA Rusu, A Pritzel, ...
arXiv preprint arXiv:1701.08734, 2017
A Neural Representation of Sketch Drawings
D Ha, D Eck
Sixth International Conference on Learning Representations (ICLR 2018), 2017
World Models
D Ha, J Schmidhuber
arXiv preprint arXiv:1803.10122, 2018
Recurrent World Models Facilitate Policy Evolution
D Ha, J Schmidhuber
Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2451ー2463, 2018
Learning Latent Dynamics for Planning from Pixels
D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
Thirty-sixth International Conference on Machine Learning (ICML 2019), 2018
Pommerman: A Multi-Agent Playground
C Resnick, W Eldridge, D Ha, D Britz, J Foerster, J Togelius, K Cho, ...
AAAI 2019 Workshop on Reinforcement Learning in Games, 2018
Deep Learning for Classical Japanese Literature
T Clanuwat, M Bober-Irizar, A Kitamoto, A Lamb, K Yamamoto, D Ha
Neural Information Processing Systems 2018, ML for Creativity Workshop, 2018
Experiments in handwriting with a neural network
S Carter, D Ha, I Johnson, C Olah
Distill 1 (12), e4, 2016
Reinforcement Learning for Improving Agent Design
D Ha
Neural Information Processing Systems 2018, Deep Reinforcement Learning Workshop, 2018
Weight Agnostic Neural Networks
A Gaier, D Ha
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
Evolving Stable Strategies
D Ha
http://blog.otoro.net/blog.otoro.net/2017/11/12/evolving-stable-strategies/, 2017
Learning via social awareness: improving sketch representations with facial feedback
N Jaques, J Engel, D Ha, F Bertsch, R Picard, D Eck
ICLR 2018 Workshop Track, 2018
Paper Cubes: Evolving 3D characters in Augmented Reality using Recurrent Neural Networks
A Fusté, J Amores, D Ha, J Jongejan, A Pitaru
NIPS 2017, Workshop on Machine Learning for Creativity and Design, 2017
Recurrent Net Dreams Up Fake Chinese Characters in Vector Format with TensorFlow
D Ha
http://blog.otoro.net/2015/12/28/recurrent-net-dreams-up-fake-chinese …, 2015
Neuroevolution for deep reinforcement learning problems
D Ha
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
Generating Large Images from Latent Vectors
D Ha
http://blog.otoro.net/2016/04/01/generating-large-images-from-latent-vectors/, 2016
Generating Abstract Patterns with TensorFlow
D Ha
blog.otoro.net/2016/03/25/generating-abstract-patterns-with-tensorflow/, 2016
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
CD Freeman, L Metz, D Ha
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019
A Learned Representation for Scalable Vector Graphics
RG Lopes, D Ha, D Eck, J Shlens
International Conference on Computer Vision (ICCV 2019), 2019
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Articles 1–20