Rob Stewart

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rob Stewart trusts

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

  1. Xiaowei Huang (in Safety, Robustness & Interpretability)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Jimmy Ba (in Artificial Intelligence)

Papers from Rob Stewart's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Intriguing properties of neural networks
  3. Explaining and Harnessing Adversarial Examples
  4. Towards Deep Learning Models Resistant to Adversarial Attacks
  5. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
  6. Towards Deep Neural Network Architectures Robust to Adversarial Examples
  7. Safety Verification of Deep Neural Networks
  8. AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation
  9. Lipschitz Properties for Deep Convolutional Networks
  10. The German Traffic Sign Recognition Benchmark: A multi-class classification competition

Their papers