David Ha

发表

long short term memory

David Ha, David R Ha, 2015 .

Recurrent Neural Network Tutorial for Artists

David Ha, 2017 .

Recurrent Net Dreams Up Fake Chinese Characters in Vector Format with TensorFlow

David Ha, David R Ha, 2015 .

Generating Abstract Patterns with TensorFlow

David Ha, David R Ha, 2016 .

Geotechnical Special Publication: Preface

Ross W. Boulanger, Kohji Tokimatsu, Jonathan D. Bray, 2010 .

Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers

Shigeru Katagiri, Xugang Lu, Miho Ohsaki, 2019, IUKM.

Neuroevolution for deep reinforcement learning problems

David Ha, 2020, GECCO Companion.

OPTIMAL CLASSIFIER MODEL STATUS SELECTION USING BAYES BOUNDARY UNCERTAINTY

Shigeru Katagiri, Miho Ohsaki, Hideyuki Watanabe, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Neuroevolution for deep reinforcement learning problems

David Ha, David R Ha, 2019, GECCO.

PathNet: Evolution Channels Gradient Descent in Super Neural Networks pdf

Chrisantha Fernando, Daan Wierstra, Charles Blundell, 2017, ArXiv.

neural network for pendulum

David Ha, 2015 .

k-medoids clustering algorithm

David Ha, 2015 .

A Practical Method Based on Bayes Boundary-Ness for Optimal Classifier Parameter Status Selection

Shigeru Katagiri, Miho Ohsaki, David Ha, 2019, J. Signal Process. Syst..

neural networks control of inverted double pendulum

David Ha, 2015 .

self balancing pendulum

David Ha, 2014 .

Interactive Abstract Pattern Generation Javascript Demo

David Ha, 2016 .

Reverse Engineering CIFAR10 convnet for Image Generation

David Ha, 2015 .

Neuroevolution for deep reinforcement learning problems

David Ha, David R Ha, 2018, GECCO.

Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method

Shigeru Katagiri, Hideyuki Watanabe, David Ha, 2018, SPML '18.

Recurrent World Models Facilitate Policy Evolution

Jürgen Schmidhuber, David Ha, J. Schmidhuber, 2018, NeurIPS.

World Models pdf

Jürgen Schmidhuber, David Ha, J. Schmidhuber, 2018, ArXiv.

conventional neuroevolution (CNE) trainer (Part II)

David Ha, 2015 .

Generating Large Images from Latent Vectors

David Ha, David R Ha, 2016 .

A Neural Representation of Sketch Drawings pdf

Douglas Eck, David Ha, David R Ha, 2017, ICLR.

A Learned Representation for Scalable Vector Graphics

Douglas Eck, Jonathon Shlens, David Ha, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Neural Network Generative Art in Javascript

David Ha, David R Ha, 2015 .

evolving a neural network for pendulum control

David Ha, 2015 .

Weight Agnostic Neural Networks

Adam Gaier, David Ha, David R Ha, 2019, NeurIPS.

Pommerman: A Multi-Agent Playground pdf

Julian Togelius, Joan Bruna, Kyunghyun Cho, 2018, AIIDE Workshops.

Japanese grammar database app

David Ha, 2014 .

Traversing the Random Network

David Ha, 2015 .

Experiments in Handwriting with a Neural Network

Ian Johnson, Shan Carter, David Ha, 2016 .

Neural Network Evolution Playground with Backprop NEAT

David Ha, 2016 .

Learning Latent Dynamics for Planning from Pixels pdf

Ruben Villegas, Honglak Lee, James Davidson, 2018, ICML.

Reinforcement Learning for Improving Agent Design

David Ha, David R Ha, 2018, Artificial Life.

Learning via social awareness: improving sketch representations with facial feedback pdf

Douglas Eck, Natasha Jaques, Fred Bertsch, 2018, ICLR.

collabdraw: An Environment for Collaborative Sketching with an Artificial Agent

Monica Dinculescu, David Ha, Judith E. Fan, 2019, Creativity & Cognition.

Handwriting Generation Demo in TensorFlow

David Ha, David R Ha, 2015 .

Evolutionary Function Approximation for Reinforcement Learning

David Ha, 2015 .

visualising neural network behavior

David Ha, 2015 .

Random Network Generator

David Ha, 2015 .

Evolving Stable Strategies

David Ha, David R Ha, 2017 .

conventional neuroevolution (CNE) trainer for convnet.js

David Ha, 2015 .

Enforced Subpopulations (ESP) neuroevolution algorithm for balancing inverted double pendulum

David Ha, 2015 .

Collective Intelligence for Deep Learning: A Survey of Recent Developments

David Ha, Yujin Tang, 2021 .

The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning pdf

David Ha, Yujin Tang, David R Ha, 2021, NeurIPS.

World Models and Attention for Reinforcement Learning

David Ha, 2021 .

Sketch-based Creativity Support Tools using Deep Learning pdf

John Canny, David Ha, Eldon Schoop, 2021, Human–Computer Interaction Series.

Mixture Density Networks with TensorFlow

David Ha, 2015 .