Jean-Remi King

Cognitive Neuroscience · 2013–2023

A researcher in the Science corpus: 6 papers; trusts 71 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 96 citations into it; #3,062 of 10,852 by trust here, #3,947 by citations
• Artificial Intelligence — 53 citations into it; #22,857 of 35,345 by trust here, #19,439 by citations
• Computer Vision and Pattern Recognition — 29 citations into it
• Natural Language Processing — 29 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Large Language Models — 15 citations into it
• Neuroscience — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Jean-Remi King trusts overall

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

1. Nikolaus Kriegeskorte
2. Tomas Mikolov
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Stanislas Dehaene
6. Alec Radford
7. Daniel L. K. Yamins
8. Ashish Vaswani
9. Yoshua Bengio
10. Jacob Devlin

Who trusts Jean-Remi King overall

1. Tijl Grootswagers
2. Dongwei Li
3. Robin A. A. Ince
4. Yair Lakretz
5. Yu Takagi
6. Susan G. Wardle
7. Jerry Tang
8. Yiqing Hu
9. Germán Kruszewski
10. Bruno L. Giordano

Papers from Jean-Remi King's perspective

Ordered by how strongly the researchers Jean-Remi King trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Characterizing the dynamics of mental representations: the temporal generalization method (2014) — 855 citations
• Brains and algorithms partially converge in natural language processing (2022) — 353 citations
• Evidence of a predictive coding hierarchy in the human brain listening to speech (2023) — 302 citations
• Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability (2021)
• Differential Brain Mechanisms of Selection and Maintenance of Information during Working Memory (2018)
• Toward a computational theory of conscious processing (2013) — 365 citations