Samuele Cornell
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 110 citations into it
- Signal Processing — 93 citations into it
- Speech & Audio — 71 citations into it
- Model Architectures — 18 citations into it
- Optimization & Training — 8 citations into it
Whom Samuele Cornell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yi Luo
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Jimmy Ba
- Alex Graves
- Mirco Ravanelli
- Dong Yu
- Nima Mesgarani
- John R. Hershey
Who trusts Samuele Cornell overall
Papers from Samuele Cornell's perspective
Ordered by how strongly the researchers Samuele Cornell trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Attention Is All You Need In Speech Separation (2020) — 785 citations
- SpeechBrain: A General-Purpose Speech Toolkit (2021) — 999 citations
- Filterbank Design for End-to-end Speech Separation (2019) — 75 citations
- LibriMix: An Open-Source Dataset for Generalizable Speech Separation (2020) — 428 citations