Laurent Schmalen

Electrical and Electronic Engineering · 2016–2018

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

Subfields

• Electrical and Electronic Engineering — 16 citations into it
• Computer Networks and Communications — 8 citations into it

Whom Laurent Schmalen trusts

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

1. Patrick Schulte (in Electrical and Electronic Engineering)
2. Georg Böcherer (in Electrical and Electronic Engineering)

Papers from Laurent Schmalen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Deep Learning
4. Visualizing Data using t-SNE
5. Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC (IEEE Transactions on Information Theory)
6. Constant Composition Distribution Matching (IEEE Transactions on Information Theory)
7. Bandwidth Efficient and Rate-Matched Low-Density Parity-Check Coded Modulation (IEEE Transactions on Communications)
8. Multilayer feedforward networks are universal approximators
9. Learning representations by back-propagating errors
10. Modeling of the Impact of Nonlinear Propagation Effects in Uncompensated Optical Coherent Transmission Links (Journal of Lightwave Technology)

Their papers

• End-to-End Deep Learning of Optical Fiber Communications (2018) — 326 citations
• Rate Adaptation and Reach Increase by Probabilistically Shaped 64-QAM: An Experimental Demonstration (2016) — 511 citations