Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Dellaportas, P"'
Assume that we would like to estimate the expected value of a function $F$ with respect to an intractable density $\pi$, which is specified up to some unknown normalising constant. We prove that if $\pi$ is close enough under KL divergence to another
Externí odkaz:
http://arxiv.org/abs/2406.17699
We provide a condition monitoring system for wind farms, based on normal behaviour modelling using a probabilistic multi-layer perceptron with transfer learning via fine-tuning. The model predicts the output power of the wind turbine under normal beh
Externí odkaz:
http://arxiv.org/abs/2404.16496
Autor:
Savona, Roberto, Alberini, Cristina Maria, Alessi, Lucia, Baussano, Iacopo, Dellaportas, Petros, Guerra, Ranieri, Khozin, Sean, Modena, Andrea, Pecorelli, Sergio, Rasi, Guido, Siviero, Paolo Daniele, Stein, Roger M.
A major gap exists between the conceptual suggestion of how much a nation should invest in science, innovation, and technology, and the practical implementation of what is done. We identify 4 critical challenges that must be address in order to devel
Externí odkaz:
http://arxiv.org/abs/2312.07065
We propose a flexible nonparametric Bayesian modelling framework for multivariate time series of count data based on tensor factorisations. Our models can be viewed as infinite state space Markov chains of known maximal order with non-linear serial d
Externí odkaz:
http://arxiv.org/abs/2311.06076
Variational autoencoders (VAEs) are popular likelihood-based generative models which can be efficiently trained by maximizing an Evidence Lower Bound (ELBO). There has been much progress in improving the expressiveness of the variational distribution
Externí odkaz:
http://arxiv.org/abs/2308.13731
Autor:
Hirt, Marcel, Finke, Axel, Beskos, Alexandros, Dellaportas, Petros, Beck, Stephan, Moghul, Ismail, Ecker, Simone
DNA methylation is an important epigenetic mark that has been studied extensively for its regulatory role in biological processes and diseases. WGBS allows for genome-wide measurements of DNA methylation up to single-base resolutions, yet poses chall
Externí odkaz:
http://arxiv.org/abs/2211.07311
Autor:
Ballarin, Giovanni, Dellaportas, Petros, Grigoryeva, Lyudmila, Hirt, Marcel, van Huellen, Sophie, Ortega, Juan-Pablo
Macroeconomic forecasting has recently started embracing techniques that can deal with large-scale datasets and series with unequal release periods. MIxed-DAta Sampling (MIDAS) and Dynamic Factor Models (DFM) are the two main state-of-the-art approac
Externí odkaz:
http://arxiv.org/abs/2211.00363
Predicting the future performance of young runners is an important research issue in experimental sports science and performance analysis. We analyse a data set with annual seasonal best performances of male middle distance runners for a period of 14
Externí odkaz:
http://arxiv.org/abs/2206.12716
We provide an online framework for analyzing data recorded by smart watches during running activities. In particular, we focus on identifying variations in the behavior of one or more measurements caused by changes in physical condition, such as phys
Externí odkaz:
http://arxiv.org/abs/2206.11578
We introduce a general framework that constructs estimators with reduced variance for random walk Metropolis and Metropolis-adjusted Langevin algorithms. The resulting estimators require negligible computational cost and are derived in a post-process
Externí odkaz:
http://arxiv.org/abs/2203.02268