David Ha

1. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
   2024/08/12 by Chris Lu, Cong Lu, Lu, Chris +10 · 19 voices · 203 citations
   Decision Sciences · #Scientific Computing and Data Management
2. PathNet: Evolution Channels Gradient Descent in Super Neural Networks
   2017/01/30 by Chrisantha Fernando, Dylan Banarse, Fernando, Chrisantha +14 · 3 voices · 78 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Neural Networks and Applications #Reinforcement Learning in Robotics #cs.LG #cs.NE
3. World Models
   2018/03/27 by David Ha, Jürgen Schmidhuber · 7 voices · 203 citations
   #cs.LG #stat.ML
4. A Neural Representation of Sketch Drawings
   2017/04/11 by David Ha, Douglas Eck, Ha, David +1 · 2 voices · 38 citations
   Computer Science · Engineering · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Human Motion and Animation #cs.LG #cs.NE #stat.ML
5. Learning Latent Dynamics for Planning from Pixels
   2018/11/12 by Danijar Hafner, Timothy Lillicrap, Hafner, Danijar +11 · 176 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multimodal Machine Learning Applications
6. Evolutionary optimization of model merging recipes
   2024/03/19 by Takuya Akiba, Makoto Shing, Yujin Tang +2 · 3 voices · 38 citations
   Computer Science · #Software Engineering Research #Advanced Multi-Objective Optimization Algorithms #Model-Driven Software Engineering Techniques
7. Recurrent World Models Facilitate Policy Evolution
   2018/09/04 by David Ha, Jürgen Schmidhuber, Ha, David +1 · 156 citations
   Social Sciences · #FOS: Computer and information sciences #International Development and Aid #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. HyperNetworks
   2016/09/27 by David Ha, Ha, David, Andrew Dai +3 · 82 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
9. Neuroevolution of self-interpretable agents
   2020/03/18 by Yujin Tang, Duong Nguyen, David Ha · 3 voices
   Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.CV #cs.LG #cs.NE
10. Towards end-to-end automation of AI research
    2026/03/25 by Chris Lu, Cong Lu, R. T. Lange +5 · 2 voices · 20 citations
    Biochemistry, Genetics and Molecular Biology · Decision Sciences · Materials Science · #Cell Image Analysis Techniques #Machine Learning in Materials Science #Scientific Computing and Data Management
11. Collective Intelligence for Deep Learning: A Survey of Recent Developments
    2021/11/29 by David Ha, Ha, David, Yujin Tang +1 · 2 voices · 3 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Cellular Automata and Applications #FOS: Computer and information sciences #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #cs.NE
12. Automating the Search for Artificial Life with Foundation Models
    2024/12/23 by Akarsh Kumar, Chris Lu, Chris Xiaoxuan Lu +12 · 6 voices · 12 citations
    Engineering · #Modular Robots and Swarm Intelligence
13. Reinforcement Learning for Improving Agent Design
    2019/11/01 by David Ha · 4 citations
    Computer Science · Engineering · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robot Manipulation and Learning
14. Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts
    2021/09/18 by Yingtao Tian, Tian, Yingtao, David Ha +1 · 3 citations
    Computer Science · Earth and Planetary Sciences · #3D Surveying and Cultural Heritage #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Visual Attention and Saliency Detection
15. The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
    2021/09/07 by Yujin Tang, David Ha, Tang, Yujin +1 · 4 citations
    Computer Science · Neuroscience · #Reinforcement Learning in Robotics #Neural dynamics and brain function #Neural Networks and Reservoir Computing
16. Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization
    2025/09/16 by Robert Tjarko Lange, Lange, Robert Tjarko, Qi Sun +8 · 12 citations
    Computer Science · #Software Testing and Debugging Techniques #Parallel Computing and Optimization Techniques #Model-Driven Software Engineering Techniques
17. Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review
    2025/01/01 by Sulwan Algain, Alexandre R. Marra, Takaaki Kobayashi +17 · 1 voice · 3 citations
    Immunology and Microbiology · Medicine · Biochemistry, Genetics and Molecular Biology · #Antibiotic Use and Resistance #Artificial Intelligence in Healthcare and Education #Bacterial Identification and Susceptibility Testing
18. Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
    2019/10/29 by C. Daniel Freeman, Luke Metz, Freeman, C. Daniel +3 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
19. Finding Game Levels with the Right Difficulty in a Few Trials through\n Intelligent Trial-and-Error
    2020/05/15 by Miguel González-Duque, Rasmus Palm, González-Duque, Miguel +5 · 1 citation
    Computer Science · Psychology · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Educational Games and Gamification