Category
Statistical sampling
Related publications (1,000)
Identification of typical district configurations: A two-step global sensitivity analysis framework
François Maréchal, Jonas Schnidrig, Cédric Terrier
The recent geopolitical conflicts in Europe highlighted the sensibility of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy system configurations to ensure energy supply stability, it is necess ...
2023Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret
Large omics datasets are nowadays routinely generated to provide insights into cellular processes. Nevertheless, making sense of omics data and determining intracellular metabolic states remains challenging. Kinetic models of metabolism are crucial for int ...
2023Traversing Time Dependent Light Fields for Daylight Glare Evaluation
To understand how daylight gives shape and life to architectural spaces, whether existing or imagined, requires quantifying its dynamism and energy. Maintaining these details presents a challenge to simulation and analysis methods that flatten data into di ...
EPFL2023Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems
Higher-order asymptotics provide accurate approximations for use in parametric statistical modelling. In this thesis, we investigate using higher-order approximations in two-specific settings, with a particular emphasis on the tangent exponential model. Th ...
EPFL2023Epigenome-wide DNA methylation in externalizing behaviours: A review and combined analysis
Maria del Carmen Sandi Perez, Mandy Meijer
DNA methylation (DNAm) is one of the most frequently studied epigenetic mechanisms facilitating the interplay of genomic and environmental factors, which can contribute to externalizing behaviours and related psychiatric disorders. Previous epigenome-wide ...
PERGAMON-ELSEVIER SCIENCE LTD2023First detection of the BAO signal from early DESI data
Andrei Variu, Cheng Zhao, Anand Stéphane Raichoor, David Schlegel
We present the first detection of the baryon acoustic oscillations (BAOs) signal obtained using unblinded data collected during the initial 2 months of operations of the Stage-IV ground-based Dark Energy Spectroscopic Instrument (DESI). From a selected sam ...
Oxford2023Pre-annealing for improved LPCVD deposited boron-doped poly-Si hole-selective contacts
Franz-Josef Haug, Luca Massimiliano Antognini, Josua Andreas Stückelberger, Xinyu Zhang, Zhao Wang, Jie Yang
We demonstrate the beneficial effect of a pre-annealing step prior to the boron diffusion on passivation and contact resistivity of industrially LPCVD deposited poly-Si/SiOX hole-selective contacts. We investigate the influence of the pre-annealing tempera ...
ELSEVIER2023Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations
Magnetic resonance spectroscopy is a powerful, non-invasive, quantitative imaging technique that allows for the measurement of brain metabolites that has demonstrated utility in diagnosing and characterizing a broad range of neurological diseases. Its impa ...
FRONTIERS MEDIA SA2023How to Boost Face Recognition with StyleGAN?
State-of-the-art face recognition systems require vast amounts of labeled training data. Given the priority of privacy in face recognition applications, the data is limited to celebrity web crawls, which have issues such as limited numbers of identities. O ...
Ieee Computer Soc2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
Rachid Guerraoui, Anne-Marie Kermarrec, Sadegh Farhadkhani, Rafael Pereira Pires, Rishi Sharma, Marinus Abraham de Vos
We present Epidemic Learning ( EL ), a simple yet powerful decentralized learning (DL) algorithm that leverages changing communication topologies to achieve faster model convergence compared to conventional DL approaches. At each round of EL, each node sen ...
2023