Lorenzo Foglianti

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Model Architectures — 9 citations into it

Whom Lorenzo Foglianti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Graves
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Sepp Hochreiter
7. Jimmy Ba
8. J. Urgen Schmidhuber
9. Wojciech Zaremba
10. Mike Schuster

Papers from Lorenzo Foglianti's perspective

Ordered by how strongly the researchers Lorenzo Foglianti trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Phonological Features for 0-shot Multilingual Speech Synthesis (2020) — 38 citations
• Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning (2020) — 11 citations