Maximilian Lam

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 53 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Maximilian Lam trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Shai Shalev-Shwartz
  5. Ilya Sutskever
  6. B. Recht
  7. Yoshua Bengio
  8. Yann LeCun
  9. L. Eon Bottou
  10. Yurii E. Nesterov

Who trusts Maximilian Lam overall

  1. Deepesh Data
  2. Zachary B. Charles
  3. Amirhossein Reisizadeh
  4. Sanghamitra Dutta
  5. Can Bülent Karakus
  6. Jungwoo Lee
  7. Suhas N. Diggavi
  8. Qian Yu
  9. Rashish Tandon
  10. Songze Li

Papers from Maximilian Lam's perspective

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

Their papers