Mattia Antonino Di Gangi

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 138 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 125 citations into it; #9,155 of 35,345 by trust here, #10,207 by citations
• Natural Language Processing — 98 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Speech & Audio — 32 citations into it; #349 of 1,076 by trust here, #452 by citations
• Model Architectures — 29 citations into it
• Signal Processing — 25 citations into it
• Evaluation & Benchmarks — 24 citations into it
• Machine Translation — 23 citations into it; #39 of 292 by trust here, #35 by citations

Whom Mattia Antonino Di Gangi trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Rico Sennrich
5. Alex Graves
6. Ilya Sutskever
7. Yann LeCun
8. Kyunghyun Cho
9. Jimmy Ba
10. Sepp Hochreiter

Who trusts Mattia Antonino Di Gangi overall

1. Changhan Wang
2. Juan Pino
3. Yun Tang
4. Anne Wu
5. Xutai Ma
6. Rong Ye
7. Matteo Negri
8. Matthias Sperber
9. Paul-Ambroise Duquenne
10. Jiatao Gu

Papers from Mattia Antonino Di Gangi's perspective

Ordered by how strongly the researchers Mattia Antonino Di Gangi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Multilingual Neural Machine Translation for Zero-Resource Languages (2019) — 14 citations
• MuST-C: a Multilingual Speech Translation Corpus (2019) — 493 citations
• One-to-Many Multilingual End-to-End Speech Translation (2019) — 53 citations
• MuST-C: A multilingual corpus for end-to-end speech translation (2021) — 186 citations
• Enhancing Transformer for End-to-end Speech-to-Text Translation (2019) — 54 citations
• Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors (2017) — 23 citations