Freddie D. Witherden
Computational Mechanics · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 13 citations into it; #5,702 of 10,001 by trust here, #6,041 by citations
- Statistical and Nonlinear Physics — 13 citations into it; #7,310 of 10,127 by trust here, #7,024 by citations
Whom Freddie D. Witherden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hung T. Huynh
- Clarence W. Rowley
- Andreas Klöckner
- Kaiming He
- Milan Korda
- Steven Diamond
- Joshua L. Proctor
- Naoya Takeishi
- Igor Mezi'c
- Maximilian Karl
Who trusts Freddie D. Witherden overall
Papers from Freddie D. Witherden's perspective
Ordered by how strongly the researchers Freddie D. Witherden 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Proximal Policy Optimization Algorithms (arXiv.org)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images