168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- KTH Royal Institute of TechnologySE17 papers
- Chalmers University of TechnologySE15 papers
- Lund UniversitySE13 papers
- Luleå University of TechnologySE8 papers
- University of California, BerkeleyUS8 papers
- Blekinge Institute of TechnologySE6 papers
- Uppsala UniversitySE6 papers
- National Physical LaboratoryGB5 papers
- University of GothenburgSE5 papers
- Intel (United States)US4 papers
- Istituto Nazionale di Ricerca MetrologicaIT4 papers
- Physikalisch-Technische BundesanstaltDE4 papers
6 papers · 1 filter
Perceptron Theory Can Predict the Accuracy of Neural Networks
Denis Kleyko, Antonello Rosato, E. Paxon Frady +2
Multilayer neural networks set the current state of the art for many technical classification problems. But, these networks are still, essentially, black boxes in terms of analyzin…
Scalable Federated Learning over Passive Optical Networks
Jun Li, Lei Chen, Jiajia Chen
Two-step aggregation is introduced to facilitate scalable federated learning (SFL) over passive optical networks (PONs). Results reveal that the SFL keeps the required PON upstream…
Online feature selection for rapid, low-overhead learning in networked systems
Xiaoxuan Wang, Forough Shahab Samani, Rolf Stadler
Data-driven functions for operation and management often require measurements collected through monitoring for model training and prediction. The number of data sources can be very…
Predicting permeability via statistical learning on higher-order microstructural information
Magnus Röding, Zheng Ma, Salvatore Torquato
Quantitative structure-property relationships are crucial for the understanding and prediction of the physical properties of complex materials. For fluid flow in porous materials,…
Illuminating a Blind Spot in Digitalization -- Software Development in Sweden's Private and Public Sector
Markus Borg, Joakim Wernberg, Thomas Olsson +2
As Netscape co-founder Marc Andreessen famously remarked in 2011, software is eating the world - becoming a pervasive invisible critical infrastructure. Data on the distribution of…
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez +1
Existing approaches to solving combinatorial optimization problems on graphs suffer from the need to engineer each problem algorithmically, with practical problems recurring in man…