Dimitra Maoutsa
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Statistical and Nonlinear Physics — 8 citations into it; #6,942 of 10,127 by trust here, #7,402 by citations
- Statistics and Probability — 7 citations into it; #9,569 of 12,932 by trust here, #8,740 by citations
Whom Dimitra Maoutsa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Qiang Liu
- Aapo Hyvärinen
- Felix Otto
- Cédric Villani
- Bernhard Schölkopf
- Yingzhen Li
- Ernst Hairer
- Andreas Schadschneider
- Geoffrey E. Hinton
- Alex Smola
Who trusts Dimitra Maoutsa overall
- Yang Song
- Conor Durkan
- Yaron Lipman
- Hanqun Cao
- Ricky T. Q. Chen
- Stefano Ermon
- Jascha Narain Sohl-Dickstein
- Cheng Tan
Papers from Dimitra Maoutsa's perspective
Ordered by how strongly the researchers Dimitra Maoutsa 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)