Lhassane Idoumghar
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #24,962 of 35,345 by trust here, #13,760 by citations
- Signal Processing — 36 citations into it; #5,221 of 7,572 by trust here, #2,052 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Optimization & Training — 13 citations into it
- Economics and Econometrics — 11 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Lhassane Idoumghar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Yann LeCun
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Radford M. Neal
- Alex Krizhevsky
- Ilya Sutskever
- Christian Szegedy
- Anthony J. Bagnall
Who trusts Lhassane Idoumghar overall
Papers from Lhassane Idoumghar's perspective
Ordered by how strongly the researchers Lhassane Idoumghar 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- InceptionTime: Finding AlexNet for time series classification (2019) — 1,670 citations
- Deep learning for time series classification: a review (2018) — 3,323 citations