Mark P. Sendak

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Mark P. Sendak trusts overall

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

1. Zachary Chase Lipton
2. Joseph D. Futoma
3. Gary S. Collins
4. Edward Choi
5. Diederik P. Kingma
6. Finale Doshi-Velez
7. Sanjay Hariharan
8. Geoffrey E. Hinton
9. Yoshua Bengio
10. Sepp Hochreiter

Papers from Mark P. Sendak's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection (2017) — 142 citations
• "The human body is a black box": supporting clinical decision-making with deep learning (2019) — 220 citations
• Do no harm: a roadmap for responsible machine learning for health care (2019) — 925 citations
• Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks (2018) — 22 citations