Michael Murias
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Cognitive Neuroscience — 19 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Generative Models — 6 citations into it
- Experimental and Cognitive Psychology — 5 citations into it
Whom Michael Murias trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wei-Long Zheng
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ming-Yu Liu
- Alex Krizhevsky
- Yoshua Bengio
- Jimmy Ba
- L. V. D. van der Maaten
- Yann LeCun
- Ilya Sutskever
Who trusts Michael Murias overall
Papers from Michael Murias's perspective
Ordered by how strongly the researchers Michael Murias 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)
- Gradient-based learning applied to document 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Extracting Relationships by Multi-Domain Matching (2018) — 95 citations
- Targeting EEG/LFP Synchrony with Neural Nets (2017) — 67 citations
- Early Behavioral Intervention Is Associated With Normalized Brain Activity in Young Children With Autism (2012) — 662 citations