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Author

David Ha

Observed name: Ha, David
ORCID: 0000-0002-3598-5036
Observed ORCID: 0000-0002-3598-5036
OpenAlex ID: A5101406445
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017 · Fernando, Chrisantha, Banarse, Dylan, et al. · arXiv (Cornell University) · 617
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Deep Learning for Classical Japanese Literature
2018 · Clanuwat, Tarin, Bober-Irizar, Mikel, et al. · arXiv (Cornell University) · 444
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World Models
2018 · Ha, David, Schmidhuber, Jürgen · arXiv (Cornell University) · 187
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Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
2022 · Yingtao Tian, David Ha · Lecture notes in computer science · 30
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Pommerman: A Multi-Agent Playground
2018 · Resnick, Cinjon, Eldridge, Wes, et al. · arXiv (Cornell University) · 29
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Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
2019 · Freeman, C. Daniel, Metz, Luke, et al. · arXiv (Cornell University) · 21
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Generating Abstract Patterns with TensorFlow
2016 · David Ha · 5
Optimal Classifier Model Status Selection Using Bayes Boundary Uncertainty
2018 · David Ha, Emilie Delattre, et al. · Machine learning for signal processing ... · 4
k-medoids clustering algorithm
2015 · David Ha · 3
Learning to Generalize With Object-Centric Agents in the Open World Survival Game Crafter
2023 · Aleksandar Stanić, Yujin Tang, et al. · IEEE Transactions on Games · 2
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
2022 · Stanić, Aleksandar, Tang, Yujin, et al. · arXiv (Cornell University) · 2
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An Improved Boundary Uncertainty-Based Estimation for Classifier Evaluation
2021 · David Ha, Shigeru Katagiri, et al. · Journal of Signal Processing Systems · 2
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Optimality Analysis of Boundary-Uncertainty-Based Classifier Model Parameter Status Selection Method
2018 · David Ha, Hideyuki Watanabe, et al. · 2
A Classification-Uncertainty-Based Criterion for Classification Boundary Selection
2018 · David Ha, Stéphane Maes, et al. · IEICE Technical Report; IEICE Tech. Rep. · 2
Maximum Bayes Boundary-Ness Training For Pattern Classification
2019 · Masahiro Senda, David Ha, et al. · 1
Improvement for Boundary-Uncertainty-Based Classifier Parameter Status Selection Method
2019 · David Ha, Yuya Tomotoshi, et al. · IEEE International Conference on Computational Electromagnetics · 1
Handwriting Generation Demo in TensorFlow
2015 · David Ha · 1
Artificial Life at Scale? Lessons from Machine Learning
2021 · David Ha · Conference on Artificial Life (ALIFE)
Improved Boundary Uncertainty Estimation For Classifier Selection
2020 · David Ha, Shigeru Katagiri, et al. · IEEE MTT-S International Wireless Symposium (IWS)
Learning to Predict Without Looking Ahead
2019 · David Ha
Optimal Classifier Parameter Status Selection Based on Bayes Boundary-ness for Multi-ProtoType and Multi-Layer Perceptron Classifiers
2019 · Yuya Tomotoshi, David Ha, et al. · Lecture notes in computer science
Neural Network Evolution Playground with Backprop NEAT
2016 · David Ha
Otoro Blog Migration
2016 · David Ha
Generative King of Kowloon
2016 · David Ha
Neural Character Design
2015 · David Ha
Works count: 37
Citation count: 1,353
H-index: 6
I10-index: 6
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