Claire Jennifer Tomlin

Artificial Intelligence · 1999–2020

A researcher in the Science corpus: 31 papers; trusts 136 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Claire Jennifer Tomlin trusts overall

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

  1. Ian M. Mitchell
  2. Stanley J. Osher
  3. John Lygeros
  4. Sebastian Thrun
  5. Pieter Abbeel
  6. Andrew Y. Ng
  7. G. Hoffmann
  8. Alexandre M. Bayen
  9. Geoffrey E. Hinton
  10. Robert Tibshirani

Who trusts Claire Jennifer Tomlin overall

  1. Francesco Borrelli
  2. John Lygeros
  3. Jeremy H. Gillula
  4. Ian M. Mitchell
  5. Mo Chen
  6. Dorsa Sadigh
  7. Jaime Fernández Fisac
  8. Victoria Krakovna
  9. Stephen Prajna
  10. Daniel Mellinger

Papers from Claire Jennifer Tomlin's perspective

Ordered by how strongly the researchers Claire Jennifer Tomlin 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Reinforcement Learning: An Introduction

Their papers