Mariano Phielipp

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 88 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mariano Phielipp trusts overall

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

  1. Sergey Levine
  2. Geoffrey E. Hinton
  3. E. Todorov
  4. Richard S. Sutton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Pieter Abbeel
  8. J. Urgen Schmidhuber
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Mariano Phielipp overall

  1. Corey Lynch
  2. Benjamin Eysenbach
  3. Dibya Ghosh
  4. Pierre Sermanet

Papers from Mariano Phielipp's perspective

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

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

Their papers