Robert Chen
Artificial Intelligence · with Sun · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Causal Inference & Discovery — 15 citations into it; #359 of 364 by trust here, #327 by citations
- Computational Mathematics — 10 citations into it
Whom Robert Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oriol Vinyals
- Geoffrey E. Hinton
- Yoshua Bengio
- Richard S. Sutton
- Ilya Sutskever
- Dzmitry Bahdanau
- Alex Graves
- Zhi-Hua Zhou
- Alex Krizhevsky
- Tamara G. Kolda
Who trusts Robert Chen overall
Papers from Robert Chen's perspective
Ordered by how strongly the researchers Robert Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (2015) — 179 citations
- Causal Regularization (2019) — 57 citations
- LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity (2017) — 260 citations
- Causal Regularization (2017)