10 citations · 11 across the 3 of their papers we have counts for
5 papers
Learning Robust Controllers Via Probabilistic Model-Based Policy Search
Valentin Charvet, Bjørn Sand Jensen, Roderick Murray-Smith
Model-based Reinforcement Learning estimates the true environment through a world model in order to approximate the optimal policy. This family of algorithms usually benefits from…
Odd-One-Out Representation Learning
Salman Mohammadi, Anders Kirk Uhrenholt, Bjørn Sand Jensen
The effective application of representation learning to real-world problems requires both techniques for learning useful representations, and also robust ways to evaluate propertie…
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
Nikos Pitsillos, Ameya Pore, Bjorn Sand Jensen +1
We present an introspective framework inspired by the process of how humans perform introspection. Our working assumption is that neural network activations encode information, and…
Probabilistic selection of inducing points in sparse Gaussian processes
Anders Kirk Uhrenholt, Valentin Charvet, Bjørn Sand Jensen
Sparse Gaussian processes and various extensions thereof are enabled through inducing points, that simultaneously bottleneck the predictive capacity and act as the main contributor…
Recurrent Neural Networks for Fuzz Testing Web Browsers
Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson
Generation-based fuzzing is a software testing approach which is able to discover different types of bugs and vulnerabilities in software. It is, however, known to be very time con…