Li-wei H. Lehman

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 9 papers; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Statistics and Probability — 15 citations into it
• Causal Inference & Discovery — 12 citations into it

Whom Li-wei H. Lehman trusts overall

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

1. David M. Blei
2. Li Fei-Fei
3. J. le Gall
4. Jack E. Zimmerman
5. James M. Robins
6. Glenn M. Chertow
7. Pietro Perona
8. Mohammed Saeed
9. Andrew A. Kramer
10. Michael I. Jordan

Who trusts Li-wei H. Lehman overall

1. Marzyeh Ghassemi
2. Alistair E. W. Johnson
3. Chao Yu
4. Zexian Zeng
5. Tristan Naumann
6. Shamim Nemati
7. Yuan Luo
8. Dianbo Liu
9. Ioana Bica
10. Finale Doshi-Velez

Papers from Li-wei H. Lehman's perspective

Ordered by how strongly the researchers Li-wei H. Lehman trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• MIMIC-III, a freely accessible critical care database (2016) — 8,772 citations
• Evaluating Reinforcement Learning Algorithms in Observational Health Settings (2018) — 151 citations
• MIMIC-IV, a freely accessible electronic health record dataset (2023) — 3,152 citations
• G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes (2020) — 22 citations
• Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning (2018) — 110 citations
• AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017 (2017) — 847 citations
• Methods of Blood Pressure Measurement in the ICU (2013) — 196 citations
• Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes (2012) — 102 citations
• Multiparameter Intelligent Monitoring in Intensive Care II : A public-access intensive care unit database (2011)