Miquel Espi

Signal Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miquel Espi trusts

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

  1. Hank Liao (in Signal Processing)
  2. Geoffrey E. Hinton (in Artificial Intelligence)
  3. Dong Yu (in Artificial Intelligence)
  4. Li Deng (in Artificial Intelligence)

Papers from Miquel Espi's perspective

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

  1. A Fast Learning Algorithm for Deep Belief Nets
  2. Going deeper with convolutions
  3. Recurrent neural network based language model
  4. Training Products of Experts by Minimizing Contrastive Divergence
  5. Acoustic Modeling Using Deep Belief Networks
  6. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
  7. Network In Network
  8. Statistical Language Models Based on Neural Networks
  9. Empirical Evaluation and Combination of Advanced Language Modeling Techniques
  10. The Design for the Wall Street Journal-based CSR Corpus

Their papers