N. Benjamin Erichson
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 65 citations into it
- Computer Vision and Pattern Recognition — 39 citations into it
- Model Architectures — 37 citations into it
- Statistical and Nonlinear Physics — 25 citations into it
- Computational Mechanics — 18 citations into it
- Optimization & Training — 16 citations into it
- Statistics and Probability — 15 citations into it
- Signal Processing — 12 citations into it
Whom N. Benjamin Erichson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Max Kuhn
- Alex Krizhevsky
- Yann LeCun
- Gene H. Golub
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Dimitri P. Bertsekas
- Diederik P. Kingma
- C. Burges
Who trusts N. Benjamin Erichson overall
Papers from N. Benjamin Erichson's perspective
Ordered by how strongly the researchers N. Benjamin Erichson trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Continuous-in-Depth Neural Networks (2020) — 56 citations
- Long Expressive Memory for Sequence Modeling (2021) — 60 citations
- Randomized Matrix Decompositions using R (2016) — 154 citations