Takayuki Muranushi

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Takayuki Muranushi trusts overall

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

  1. Matthew D. Zeiler
  2. Seiya Tokui
  3. Monica G. Bobra
  4. John C. Duchi

Papers from Takayuki Muranushi's perspective

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

  1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  2. Long Short-Term Memory
  3. ADADELTA: An Adaptive Learning Rate Method
  4. Chainer : a Next-Generation Open Source Framework for Deep Learning
  5. SOLAR FLARE PREDICTION USING SDO/HMI VECTOR MAGNETIC FIELD DATA WITH A MACHINE-LEARNING ALGORITHM
  6. GNU Parallel: The Command-Line Power Tool
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers