Jeremy R. Manning
Cognitive Neuroscience · 2009–2014
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 16 citations into it; #8,884 of 10,852 by trust here, #3,227 by citations
- Artificial Intelligence — 5 citations into it
Whom Jeremy R. Manning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael I. Jordan
- Pascal Fries
- Christian Jutten
- Radford M. Neal
- John C. Duchi
- György Buzsáki
- Rajesh Ranganath
- David M. Blei
- Nikolaus Kriegeskorte
- R. Quian Quiroga
Who trusts Jeremy R. Manning overall
- Richard Gao
- Biyu J. He
- Kai J. Miller
- Erik J. Peterson
- Bradley Voytek
- Thomas Donoghue
- Xiao-Jing Wang
- Dante R. Chialvo
- John M. Zempel
- A. Hill
Papers from Jeremy R. Manning's perspective
Ordered by how strongly the researchers Jeremy R. Manning 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)
- Gradient-based learning applied to document recognition
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data (2014) — 43 citations
- Broadband shifts in LFP power spectra are correlated with single-neuron spiking in humans (2009) — 940 citations