Damien Scieur
Optimization & Training · 2020
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 56 citations into it
- Artificial Intelligence — 39 citations into it
- Computational Mechanics — 25 citations into it
- Numerical Analysis — 19 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
Whom Damien Scieur trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Boris Polyak
- Arkadi Nemirovski
- Constantinos Daskalakis
- Paul Tseng
- Gauthier Gidel
- Martin Jaggi
- Guanghui Lan
- Francis R. Bach
- Lars M. Mescheder
Who trusts Damien Scieur overall
Papers from Damien Scieur's perspective
Ordered by how strongly the researchers Damien Scieur 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Accelerating Smooth Games by Manipulating Spectral Shapes (2020) — 50 citations
- Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets (2020) — 21 citations