Marc Roper
Building and Construction · 2018
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Building and Construction — 13 citations into it
- Electrical and Electronic Engineering — 13 citations into it
- Artificial Intelligence — 9 citations into it
Whom Marc Roper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Marc Roper's perspective
Ordered by how strongly the researchers Marc Roper trusts endorse each paper. Same corpus, a different order for every researcher.
- Recurrent nets that time and count
- Development and Validation of the
- A weighted linear prediction method for near-field source localization (IEEE Transactions on Signal Processing)
- Applications of artificial neural-networks for energy systems
- Long Short-Term Memory
- Untersuchungen zu dynamischen neuronalen Netzen
- Learning long-term dependencies with gradient descent is difficult
- Learning to Forget: Continual Prediction with LSTM
- Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
- Gradient-based learning algorithms for recurrent networks and their computational complexity
Their papers
- Machine learning for estimation of building energy consumption and performance: a review (2018) — 431 citations