Anayo K. Akametalu

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Control and Systems Engineering — 16 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Reinforcement Learning — 12 citations into it
• Aerospace Engineering — 6 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Anayo K. Akametalu trusts overall

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

1. Ian M. Mitchell
2. J. Kolter
3. Jeremy H. Gillula
4. Morgan Quigley
5. Alan Genz
6. Claire Jennifer Tomlin
7. Theodore J. Perkins
8. Andrew Y. Ng
9. Michael Kearns
10. Andrew Barto

Who trusts Anayo K. Akametalu overall

1. Felix Berkenkamp
2. Somil Bansal
3. Shangding Gu
4. Dorsa Sadigh
5. Mo Chen
6. Matteo Turchetta
7. Victoria Krakovna
8. B. Recht
9. Philip Thomas
10. Angela P. Schoellig

Papers from Anayo K. Akametalu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Trust Region Policy Optimization (International Conference on Machine Learning)
6. Long Short-Term Memory
7. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reachability-based safe learning with Gaussian processes (2014) — 313 citations
• A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems (2017) — 580 citations