Taylor T. Johnson

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #25,617 of 35,345 by trust here, #25,809 by citations

Whom Taylor T. Johnson trusts overall

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

1. Xiaowei Huang
2. Luca Pulina

Who trusts Taylor T. Johnson overall

1. Xiaowei Huang
2. Wenjie Ruan

Papers from Taylor T. Johnson's perspective

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

1. End to End Learning for Self-Driving Cars
2. Safety Verification of Deep Neural Networks
3. Multilayer feedforward networks are universal approximators
4. Mastering the game of Go with deep neural networks and tree search
5. Face recognition: a convolutional neural-network approach
6. An Abstraction-Refinement Approach to Verification of Artificial Neural Networks
7. Safety Verification of Deep Neural Networks ∗
8. Challenging SMT solvers to verify neural networks
9. A Combined Adaptive Neural Network and Nonlinear Model Predictive Control for Multirate Networked Industrial Process Control (IEEE Transactions on Neural Networks and Learning Systems)
10. Neural networks for control systems - A survey

Their papers

• Output Reachable Set Estimation and Verification for Multilayer Neural Networks (2017) — 306 citations