Patrick Rebeschini
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Optimization & Training — 21 citations into it
- Computer Networks and Communications — 20 citations into it
- Computational Mechanics — 14 citations into it
- Management Science and Operations Research — 8 citations into it
- Algorithms & Complexity — 6 citations into it
Whom Patrick Rebeschini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John C. Duchi
- Yuan Yao
- L. Eon Bottou
- Angelia Nedić
- John N. Tsitsiklis
- Ohad Shamir
- Pierre Tarres
- Lin Xiao
- Alekh Agarwal
- Yuchen Zhang
Papers from Patrick Rebeschini's perspective
Ordered by how strongly the researchers Patrick Rebeschini 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)
- Learning Multiple Layers of Features from Tiny Images
- A Stochastic Approximation Method
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)