Damek Davis
Computational Mechanics · 2014–2018
A researcher in the Science corpus: 8 papers; trusts 75 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 75 citations into it; #1,325 of 10,001 by trust here, #1,838 by citations
- Optimization & Training — 57 citations into it; #858 of 2,601 by trust here, #1,744 by citations
- Artificial Intelligence — 51 citations into it; #7,513 of 35,345 by trust here, #15,004 by citations
- Computational Theory and Mathematics — 32 citations into it; #1,789 of 12,182 by trust here, #2,851 by citations
- Numerical Analysis — 30 citations into it; #304 of 3,586 by trust here, #523 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #18,511 of 21,575 by trust here, #20,271 by citations
- Mathematical Optimization — 22 citations into it
- Mathematical Physics — 18 citations into it
Whom Damek Davis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Zeyuan Allen-Zhu
- Saeed Ghadimi
- Laurent Condat
- Patrick L. Combettes
- Aaron Defazio
- Guanghui Lan
- Dmitriy Drusvyatskiy
- Simon Lacoste-Julien
- Francis R. Bach
Who trusts Damek Davis overall
- Ming Yan
- Antonin Chambolle
- Wotao Yin
- Dmitriy Drusvyatskiy
- Chi Jin
- Hilal Asi
- Thomas Pock
- Michael Arbel
- John C. Duchi
- Sulaiman A. Alghunaim
Papers from Damek Davis's perspective
Ordered by how strongly the researchers Damek Davis 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- 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)
Their papers
- Stochastic model-based minimization of weakly convex functions (2018) — 473 citations
- Stochastic subgradient method converges at the rate O(k-1/4) on weakly convex functions (2018) — 113 citations
- Complexity of finding near-stationary points of convex functions stochastically (2018) — 18 citations
- A Three-Operator Splitting Scheme and its Optimization Applications (2015) — 439 citations
- Convergence Rate Analysis of Several Splitting Schemes (2014) — 289 citations
- Stochastic Subgradient Method Converges on Tame Functions (2018) — 324 citations
- Subgradient Methods for Sharp Weakly Convex Functions (2018) — 140 citations
- SMART: The Stochastic Monotone Aggregated Root-Finding Algorithm (2016) — 19 citations