output
20142026
most citedLayerwise learning for quantum neural networks

341 citations

researchers with a paper here
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Showing 2018 · stat.MLShow all

3 papers · 2 filters

stat.ML2018★ 1 cited

Multi-Source Neural Variational Inference

Richard Kurle, Stephan Günnemann, Patrick van der Smagt

Learning from multiple sources of information is an important problem in machine-learning research. The key challenges are learning representations and formulating inference method…

stat.ML2018★ 1 cited

Active Learning based on Data Uncertainty and Model Sensitivity

Nutan Chen, Alexej Klushyn, Alexandros Paraschos +2

Robots can rapidly acquire new skills from demonstrations. However, during generalisation of skills or transitioning across fundamentally different skills, it is unclear whether th…

stat.ML2018★ 3 cited

Approximate Bayesian inference in spatial environments

Atanas Mirchev, Baris Kayalibay, Maximilian Soelch +2

Model-based approaches bear great promise for decision making of agents interacting with the physical world. In the context of spatial environments, different types of problems suc…