Z. De Grève

2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Z. De Grève trusts overall

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

1. Sepp Hochreiter

Who trusts Z. De Grève overall

1. Kari Torkkola
2. Ruofeng Wen

Papers from Z. De Grève's perspective

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

1. Long Short-Term Memory
2. Deep Learning
3. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
4. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
5. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
6. Bidirectional recurrent neural networks
7. Professor Forcing: A New Algorithm for Training Recurrent Networks
8. Gradient-based learning algorithms for recurrent networks and their computational complexity
9. Hybrid speech recognition with Deep Bidirectional LSTM
10. Regression Quantiles

Their papers

• Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets (2019) — 204 citations