Tobias Gerstenberg

Artificial Intelligence · 2010–2023

A researcher in the Science corpus: 14 papers; trusts 49 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Gerstenberg trusts overall

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

  1. Joseph Y. Halpern
  2. Judea Pearl
  3. Josh Tenenbaum
  4. Tania Lombrozo
  5. David A. Lagnado
  6. Noah D. Goodman
  7. Hana Chockler
  8. Peter M. Bentler
  9. Mary Hegarty
  10. Daniel Kahneman

Who trusts Tobias Gerstenberg overall

  1. David A. Lagnado
  2. Josh Tenenbaum
  3. Tomer D. Ullman
  4. Tim Miller
  5. Noah D. Goodman
  6. Jiafei Duan
  7. Jessica B. Hamrick
  8. Adam N. Sanborn
  9. Ro’i Zultan
  10. Amir-Hossein Karimi

Papers from Tobias Gerstenberg's perspective

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

Their papers