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Found 5 papers, 3 papers with code
Movement bias in asymmetric landscapes and its impact on population distribution and critical habitat size
In this scenario, the critical habitat size depends on both the relative position of the preferred location and the movement bias intensities.
Sequential epidemic spread between agglomerates of self-propelled agents in one dimension
For higher reorientation rate, travel between clusters becomes too diffusive and the clusters too small, decreasing the number of ever-infected individuals.
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
Between the years 2015 and 2019, members of the Horizon 2020-funded Innovative Training Network named "AMVA4NewPhysics" studied the customization and application of advanced multivariate analysis methods and statistical learning tools to high-energy physics problems, as well as developed entirely new ones.
Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review
In this work we discuss the impact of nuisance parameters on the effectiveness of machine learning in high-energy physics problems, and provide a review of techniques that allow to include their effect and reduce their impact in the search for optimal selection criteria and variable transformations.
INFERNO: Inference-Aware Neural Optimisation
Complex computer simulations are commonly required for accurate data modelling in many scientific disciplines, making statistical inference challenging due to the intractability of the likelihood evaluation for the observed data.
