Thomas Parr

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 70 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 95 citations into it
• Cognitive Neuroscience — 82 citations into it; #8,031 of 10,852 by trust here, #7,130 by citations
• Reinforcement Learning — 49 citations into it
• Probabilistic & Bayesian Methods — 41 citations into it
• Statistical and Nonlinear Physics — 29 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Management Science and Operations Research — 18 citations into it
• Social Psychology — 13 citations into it

Whom Thomas Parr trusts overall

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

1. Karl J. Friston
2. David John Cameron MacKay
3. Geoffrey E. Hinton
4. Richard S. Sutton
5. Diederik P. Kingma
6. Radford M. Neal
7. Yoshua Bengio
8. J. Urgen Schmidhuber
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Thomas Parr overall

1. Karl J. Friston

Papers from Thomas Parr's perspective

Ordered by how strongly the researchers Thomas Parr 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Action and Perception as Divergence Minimization (2020) — 60 citations
• The free energy principle made simpler but not too simple (2022) — 151 citations
• The Markov blankets of life: autonomy, active inference and the free energy principle (2018) — 372 citations
• The graphical brain: Belief propagation and active inference (2017) — 387 citations