Ha, David

12 publications

ICMLW 2022 An Investigation into the Open World Survival Game Crafter Aleksandar Stanić, Yujin Tang, David Ha, Jürgen Schmidhuber

NeurIPS 2021 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang, David Ha

WACV 2020 SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha

ICLRW 2019 A Learned Representation for Scalable Vector Graphics Raphael Gontijo Lopes, David Ha, Douglas Eck, Jonathon Shlens

ICML 2019 Learning Latent Dynamics for Planning from Pixels Danijar Hafner, Timothy Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson

NeurIPS 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction Daniel Freeman, David Ha, Luke Metz

NeurIPS 2019 Weight Agnostic Neural Networks Adam Gaier, David Ha

ICLR 2018 A Neural Representation of Sketch Drawings David Ha, Douglas Eck

IJCAI 2018 Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard

NeurIPS 2018 Recurrent World Models Facilitate Policy Evolution David Ha, Jürgen Schmidhuber

ICLR 2017 HyperNetworks David Ha, Andrew M. Dai, Quoc V. Le

Distill 2016 Experiments in Handwriting with a Neural Network Shan Carter, David Ha, Ian Johnson, Chris Olah