Henok Mengistu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #25,555 of 35,345 by trust here, #32,362 by citations
• Sociology and Political Science — 7 citations into it; #14,407 of 22,756 by trust here, #20,051 by citations

Whom Henok Mengistu trusts overall

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

1. Kenneth O. Stanley
2. Jean-Baptiste Mouret
3. Risto Miikkulainen
4. Joel Lehman
5. Jeff Clune
6. Leslie G. Valiant
7. M. Pigliucci
8. Günter P. Wagner
9. Nadav Kashtan
10. Sebastian Risi

Who trusts Henok Mengistu overall

1. Chelsea Finn
2. Tailin Wu
3. Jeff Clune
4. Pieter Abbeel
5. John Peurifoy
6. Sergey Levine

Papers from Henok Mengistu's perspective

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

1. Gradient-based learning applied to document recognition
2. Evolving Neural Networks through Augmenting Topologies
3. Spontaneous evolution of modularity and network motifs. (Proceedings of the National Academy of Sciences of the United States of America)
4. Illuminating search spaces by mapping elites (arXiv.org)
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Reinforcement Learning: An Introduction
7. ImageNet: A large-scale hierarchical image database
8. ImageNet classification with deep convolutional neural networks
9. Dropout: a simple way to prevent neural networks from overfitting
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It (2016) — 34 citations