Kazumi Saito

Statistical and Nonlinear Physics · 1996–2011

A researcher in the Science corpus: 6 papers; trusts 43 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 24 citations into it; #1,858 of 10,127 by trust here, #3,513 by citations
• Artificial Intelligence — 10 citations into it; #20,558 of 35,345 by trust here, #25,809 by citations
• Computer Networks and Communications — 8 citations into it; #2,353 of 9,886 by trust here, #5,340 by citations
• Management Science and Operations Research — 8 citations into it
• Signal Processing — 6 citations into it

Whom Kazumi Saito trusts overall

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

1. Roberto Battiti
2. Scott E. Fahlman
3. Robert A. Jacobs
4. Barak A. Pearlmutter
5. Philip E. Gill
6. Mark Newman
7. Yann LeCun
8. Russell Reed
9. Arthur P. Dempster
10. Michael I. Jordan

Who trusts Kazumi Saito overall

1. Min-Ling Zhang
2. J. Urgen Schmidhuber
3. Mike Schuster
4. Naonori Ueda
5. Amit Goyal
6. Zhi-Hua Zhou
7. Laks V. S. Lakshmanan
8. Mohammad S. Sorower
9. Francesco Bonchi
10. Wei Chen

Papers from Kazumi Saito's perspective

Ordered by how strongly the researchers Kazumi Saito trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Fast approximate similarity search based on degree-reduced neighborhood graphs (2011) — 44 citations
• Prediction of Information Diffusion Probabilities for Independent Cascade Model (2008) — 495 citations
• Tractable Models for Information Diffusion in Social Networks (2006) — 480 citations
• Parametric Mixture Models for Multi-Labeled Text (2002) — 384 citations
• Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks (1997)
• A constructive learning algorithm for an HME (1996)