J. Swaroop Guntupalli
Cognitive Neuroscience · 2011–2018
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 73 citations into it; #3,521 of 10,852 by trust here, #3,802 by citations
- Artificial Intelligence — 29 citations into it; #15,896 of 35,345 by trust here, #20,836 by citations
- Computer Vision and Pattern Recognition — 25 citations into it
- Neuroscience — 8 citations into it
- Experimental and Cognitive Psychology — 6 citations into it
- Cognitive Science & Psychology — 5 citations into it
- Control and Systems Engineering — 5 citations into it
Whom J. Swaroop Guntupalli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nikolaus Kriegeskorte
- James V. Haxby
- John-Dylan Haynes
- Thomas Naselaris
- Vladimir Naumovich Vapni
- Kendrick Norris Kay
- Nancy Kanwisher
- Michael Hanke
- Yukiyasu Kamitani
- Marieke Mur
Who trusts J. Swaroop Guntupalli overall
Papers from J. Swaroop Guntupalli's perspective
Ordered by how strongly the researchers J. Swaroop Guntupalli 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs (2018) — 84 citations
- BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods (2016) — 311 citations
- Decoding neural representational spaces using multivariate pattern analysis. (2014) — 724 citations
- A common, high-dimensional model of the representational space in human ventral temporal cortex (2011) — 709 citations