Jonathan Kadmon
Cognitive Neuroscience · 2015–2024
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 46 citations into it; #9,754 of 10,852 by trust here, #7,600 by citations
- Cellular and Molecular Neuroscience — 33 citations into it
- Sensory Systems — 10 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Neuroscience — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Jonathan Kadmon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Paul Smolensky
- Baktash Babadi
- Haim Sompolinsky
- Yoshua Bengio
- Pascal Vincent
- Mark J van Rossum
- Moshe Abeles
- Radford M. Neal
- Hugo Larochelle
Who trusts Jonathan Kadmon overall
- Ravid Shwartz-Ziv
- Ryo Karakida
- Naftali Tishby
- Greg Yang
- Shotaro Akaho
- Kathrin Grosse
- Andrew M. Saxe
- Boris Hanin
- Michal Moshkovitz
- Shun-ichi Amari
Papers from Jonathan Kadmon's perspective
Ordered by how strongly the researchers Jonathan Kadmon trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Statistical mechanics of deep learning (2024) — 234 citations
- Transition to chaos in random neuronal networks (2015) — 218 citations
- Statistical Mechanics of Deep Learning (2020) — 53 citations
- Cortical layer–specific critical dynamics triggering perception (2019) — 592 citations
- Shared cortex-cerebellum dynamics in the execution and learning of a motor task (2019) — 183 citations
- Optimal Architectures in a Solvable Model of Deep Networks (2016) — 28 citations