Stefano Nolfi

Model Architectures · 1993–2009

A researcher in the Science corpus: 10 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Model Architectures — 9 citations into it
• Mechanical Engineering — 6 citations into it; #7,315 of 8,300 by trust here, #7,853 by citations
• Evolutionary Computation — 5 citations into it

Whom Stefano Nolfi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John H. Holland
2. David E. Rumelhart
3. Jeffrey L. Elman
4. John Maynard Smith
5. Geoffrey E. Hinton
6. Domenico Parisi
7. Terence D. Sanger
8. Allen Newell
9. David E. Goldberg
10. Ronald J. Williams

Who trusts Stefano Nolfi overall

1. Dario Floreano
2. J. Urgen Schmidhuber
3. Faustino J. Gomez
4. Frederic Kaplan
5. Kenneth O. Stanley
6. Sebastian Risi
7. Shimon Whiteson
8. Risto Miikkulainen
9. Gianluca Baldassarre
10. Andres Perez-Uribe

Papers from Stefano Nolfi's perspective

Ordered by how strongly the researchers Stefano Nolfi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Self-Organized Coordinated Motion in Groups of Physically Connected Robots (2007) — 131 citations
• Evolution of Communication and Language in Embodied Agents (2009) — 102 citations
• Evolutionary Robotics: The Biology,Intelligence,and Technology (2000) — 679 citations
• Learning and Evolution (1999)
• Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems (1998)
• Learning to Adapt to Changing Environments in Evolving Neural Networks (1996)
• Evolving Mobile Robots in Simulated and Real Environments (1995)
• How to Evolve Autonomous Robots: Different Approaches in Evolutionary Robotics (1994)
• Learning and Evolution in Neural Networks (1994)
• Auto-teaching: networks that develop their own teaching input (1993)