Benjamin Kurt Miller
Computational Theory and Mathematics · 2020
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 24 citations into it; #10,288 of 12,182 by trust here, #6,798 by citations
- Materials Chemistry — 23 citations into it; #8,253 of 11,513 by trust here, #9,927 by citations
- Computational Chemistry & Drug Discovery — 18 citations into it; #319 of 425 by trust here, #356 by citations
- Artificial Intelligence — 13 citations into it
- Atomic and Molecular Physics, and Optics — 11 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Optimization & Training — 7 citations into it
Whom Benjamin Kurt Miller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kristof T. Schütt
- Diederik P. Kingma
- R. Ramakrishnan
- Lars Ruddigkeit
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Alex Krizhevsky
- Alexandre Tkatchenko
- Frank No'e
Who trusts Benjamin Kurt Miller overall
Papers from Benjamin Kurt Miller's perspective
Ordered by how strongly the researchers Benjamin Kurt Miller trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge