Eugene Weinstein

Artificial Intelligence · 2014–2025

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it; #15,429 of 35,345 by trust here, #9,968 by citations
• Signal Processing — 55 citations into it; #3,050 of 7,572 by trust here, #1,255 by citations
• Speech & Audio — 44 citations into it; #674 of 1,076 by trust here, #452 by citations
• Natural Language Processing — 35 citations into it
• Model Architectures — 24 citations into it

Whom Eugene Weinstein trusts overall

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

1. Alex Graves
2. Hasim Sak
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. J. Urgen Schmidhuber
6. Yoshua Bengio
7. Andrew W. Senior
8. Oriol Vinyals
9. Kanishka Rao
10. Hui Jiang

Who trusts Eugene Weinstein overall

1. Jinyu Li
2. Zhao You
3. Bo Li
4. Tara N. Sainath

Papers from Eugene Weinstein's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model (2017) — 140 citations
• Multilingual Speech Recognition with a Single End-to-End Model (2017) — 292 citations
• A big data approach to acoustic model training corpus selection (2014) — 30 citations
• Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model (2019) — 194 citations
• Rnn-Transducer with Stateless Prediction Network (2020) — 139 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
• Syllable-based acoustic modeling with CTC-SMBR-LSTM (2017) — 31 citations