The failure of sensors to perceive the environment correctly is one of the primary sources of risk that needs to be quantified in the development of active safety features for autonomous vehicles. By extracting training ...

Interest in the field of spectral geometry, the study of how analytic and geometric properties of manifolds are related, was sparked when Marc Kac in 1966 asked the question “can one hear the shape of a drum?”. One of ...

The thesis introduces an innovative way of decreasing the computational cost of approximate Bayesian computation (ABC) simulations when implemented via Markov chain Monte Carlo (MCMC). Bayesian inference has enjoyed ...

Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an ...

We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is ...

Abstract. Identifying and estimating the dose-response relationship between a compound and a pharmacological endpoint of interest is one of the most important and difficult goals in the preclinical stage of pharmaceutical ...

Abstract We investigate the yield curves implied by coupon bonds in models where the market short rate is given by a two-factor stochastic model. Specifically, we investigate generalisations of the two-factor Vasicek, ...

The graph of the implied volatility of call options as a function of the strike price is called volatility curve. If the options market were perfectly described by the Black-Scholes model, the implied volatility would ...

Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopy technique for 3D imaging of porous materials. We investigate three porous samples of ethyl cellulose microporous films made from ...