Dylan M. Nielson

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dylan M. Nielson trusts overall

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

  1. Diederik P. Kingma

Papers from Dylan M. Nielson's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. A Stochastic Approximation Method
  5. Multi-Scale Context Aggregation by Dilated Convolutions
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Weight Uncertainty in Neural Networks
  8. Practical Variational Inference for Neural Networks
  9. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  10. ImageNet classification with deep convolutional neural networks

Their papers