David B. D'Ambrosio
Artificial Intelligence · 2007–2011
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #4,018 of 35,345 by trust here, #7,172 by citations
- Mechanical Engineering — 7 citations into it; #194 of 8,300 by trust here, #1,799 by citations
- Generative Models — 5 citations into it
Whom David B. D'Ambrosio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenneth O. Stanley
- Risto Miikkulainen
- Karl Sims
- Xin Yao
- Faustino J. Gomez
- Gregory S. Hornby
- David E. Rumelhart
- Richard S. Sutton
- Bobby D. Bryant
- Geoffrey E. Hinton
Who trusts David B. D'Ambrosio overall
- J. Urgen Schmidhuber
- Kenneth O. Stanley
- Jan Koutník
- Sebastian Risi
- Tanmay Gangwani
- Shimon Whiteson
- Jeff Clune
- Zhaobai Zhong
- Quoc V. Le
- Jian Peng
Papers from David B. D'Ambrosio's perspective
Ordered by how strongly the researchers David B. D'Ambrosio trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
- Learning internal representations by error propagation
- Long Short-Term Memory
- Evolving Neural Networks through Augmenting Topologies
- ImageNet classification with deep convolutional neural networks
- A Fast Learning Algorithm for Deep Belief Nets
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Approximation by superpositions of a sigmoidal function
Their papers
- A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks (2009) — 875 citations
- Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space (2011) — 249 citations
- A novel generative encoding for exploiting neural network sensor and output geometry (2007) — 98 citations