Manuel Pariente

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Signal Processing — 31 citations into it
• Speech & Audio — 20 citations into it
• Optimization & Training — 5 citations into it

Whom Manuel Pariente trusts overall

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

1. Yi Luo
2. Nima Mesgarani
3. Yoshua Bengio
4. Diederik P. Kingma
5. Mirco Ravanelli
6. Dong Yu
7. Geoffrey E. Hinton
8. Morten Kolbaek
9. Jimmy Ba
10. Emmanuel Vincent

Who trusts Manuel Pariente overall

1. Eliya Nachmani
2. Yossi Adi

Papers from Manuel Pariente's perspective

Ordered by how strongly the researchers Manuel Pariente 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Filterbank Design for End-to-end Speech Separation (2019) — 75 citations
• LibriMix: An Open-Source Dataset for Generalizable Speech Separation (2020) — 428 citations