18 citations · 37 across the 8 of their papers we have counts for
8 papers
Reinforcement learning guided fuzz testing for a browser's HTML rendering engine
Martin Sablotny, Bjørn Sand Jensen, Jeremy Singer
Generation-based fuzz testing can uncover various bugs and security vulnerabilities. However, compared to mutation-based fuzz testing, it takes much longer to develop a well-balanc…
Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: application to planar soft tissues
Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant +1
Data-based approaches are promising alternatives to the traditional analytical constitutive models for solid mechanics. Herein, we propose a Gaussian process (GP) based constitutiv…
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…
A Topic Model Approach to Multi-Modal Similarity
Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen
Calculating similarities between objects defined by many heterogeneous data modalities is an important challenge in many multimedia applications. We use a multi-modal topic model a…