Eric Larsen
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Optimization & Training — 17 citations into it
- Management Science and Operations Research — 16 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Statistics and Probability — 6 citations into it
Whom Eric Larsen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexander Shapiro
- Vladimir Naumovich Vapni
- K. Smith‐Miles
- Stein W. Wallace
- Diederik P. Kingma
- Andrea Lodi
- Yoshua Bengio
- James Bergstra
- Søren Asmussen
- Vinod Nair
Papers from Eric Larsen's perspective
Ordered by how strongly the researchers Eric Larsen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information (2018) — 52 citations
- The load planning problem for double-stack intermodal trains (2017) — 28 citations
- Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations