Stefania Fresca
Statistical and Nonlinear Physics · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 74 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 29 citations into it; #9,258 of 10,127 by trust here, #9,324 by citations
- Artificial Intelligence — 24 citations into it
- Computational Mechanics — 18 citations into it; #9,264 of 10,001 by trust here, #9,276 by citations
- Statistics and Probability — 17 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- AI for Physical Sciences — 10 citations into it
- Numerical Methods & Scientific Computing — 6 citations into it
- Numerical Analysis — 5 citations into it
Whom Stefania Fresca trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- Geoffrey E. Hinton
- Paris Perdikaris
- Yann LeCun
- Jan S. Hesthaven
- G. Em Karniadakis
- Alfio Maria Quarteroni
- Yoshua Bengio
- Diederik P. Kingma
- Peter Benner
Who trusts Stefania Fresca overall
Papers from Stefania Fresca's perspective
Ordered by how strongly the researchers Stefania Fresca 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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)