James Weldon Demmel

Computer Networks and Communications · 2003–2007

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 12 citations into it

Whom James Weldon Demmel trusts overall

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

1. Holger Schwenk
2. Patrick R. Amestoy
3. Iain S. Duff
4. Yoshua Bengio
5. Shun-ichi Amari

Who trusts James Weldon Demmel overall

1. Xiaoye Sherry Li
2. Olaf Schenk
3. G. Pingen
4. Klaus Gärtner

Papers from James Weldon Demmel's perspective

Ordered by how strongly the researchers James Weldon Demmel 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. Natural Gradient Works Efficiently in Learning
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• SuperLU_DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems (2003) — 736 citations
• Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks (2007) — 1,176 citations
• Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply (2003) — 15 citations