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Din sökning på "2025" gav 24542 sökträffar

Wenxin Zhang

Researcher Contact details Email: wenxin [dot] zhang [at] mgeo [dot] lu [dot] seOrganisation Department of Earth and Environmental Sciences (MGeo) Service point: 16 WebpageWenxin Zhangs profile in Lund University research portalOther affiliations Researcher Dept of Physical Geography and Ecosystem Science Member of Strategic Research Area BECC: Biodiversity and Ecosystem services in a Changing Cli

https://www.nateko.lu.se/wenxin-zhang - 2026-05-07

Finn Hedefalk

Associate professor Contact details Email: finn [dot] hedefalk [at] ekh [dot] lu [dot] se Phone: +46 73 816 60 29 Mobile: +46 73 816 60 29Organisation Department of Economic History Visiting address: Scheelevägen 15B, Alfa 1, Lund Room number: Alfa1:2008 Service point: 10 WebpageFinn Hedefalks profile in Lund University research portalOther affiliations Researcher Centre for Economic Demography Pu

https://www.lusem.lu.se/finn-hedefalk - 2026-05-07

Omar Karlsson

Postdoctoral fellow Contact details Email: omar [dot] karlsson [at] ekh [dot] lu [dot] seOrganisation Department of Economic History Service point: 10 WebpageOmar Karlssons profile in Lund University research portalOther affiliations Postdoctoral fellow Economic demography Postdoctoral fellow Centre for Economic Demography Publications Displaying of publications. Sorted by year, then title. Filter

https://www.lusem.lu.se/omar-karlsson - 2026-05-07

Catching common vulnerabilities with code language models

Code Language Model (code-LM)-based vulnerability detection for C/C++ faces a substantial challenge. Previous research has shown that even though it is better than any prior machine learning approach, it still struggles to generalize well, as shown by the low F1 score. Prior works treated the problem as a binary classification: either vulnerable or non-vulnerable. Looking deeper at the various vul

Posterior Cramér-Rao bounds on localization and mapping errors in distributed MIMO SLAM

Radio-frequency simultaneous localization and mapping (RF-SLAM) methods jointly infer the position of mobile transmitters and receivers in wireless networks, together with a geometric map of the propagation environment. An inferred map of specular surfaces can be used to exploit non-line-of-sight components of the multipath channel to increase robustness, bypass obstructions, and improve overall c

Propagating Model Uncertainty through Filtering-based Probabilistic Numerical ODE Solvers

Filtering-based probabilistic numerical solvers for ordinary differential equations (ODEs), also known as ODE filters, have been established as efficient methods for quantifying numerical uncertainty in the solution of ODEs. In practical applications, however, the underlying dynamical system often contains uncertain parameters, requiring the propagation of this model uncertainty to the ODE solutio

THE QUEST FOR TRUST IN DECENTRALISED FINANCE : SCREENING OWNERSHIP IN HIGH TECH START-UPS

Building on the role of trust in finance and screening theory, our research explores the correlation between founders occupying leadership positions such as CEO, CTO, or CFO and the funds raised through Initial Coin Offerings (ICOs). We analyse data from 2,047 ICOs between 2017 and 2021 and reveal that founders occupying positions of authority within their organisations are perceived by investors

Web-based tool to evaluate and compare energy efficient renovation options for buildings

This paper introduces the comprehensive web-based IWG5 tool to evaluate energy consumption, renovation costs, and environmental impacts for European residential and office building renovations. Developed to support the SET-Plan Implementation Working Group 5 on Energy Efficiency in Buildings, the tool establishes benchmarks across five European climate zones by integrating dynamic building perform

The European Union and Planetary Health Politics

In 2015 the Rockefeller Foundation-Lancet Commission defined planetary health as built on an ecological model that integrates the material, biological, social, and cultural aspects of public health and accepts the complexity and non-linearity of the dynamics of natural systems. The zoonotic COVID-19 pandemic hastened this awaking to the symbiotic nature of planetary health politics (PHP), with the

Understanding high-dimensional Bayesian optimization

Recent work reported that simple Bayesian optimization methods perform well for high-dimensional real-world tasks, seemingly contradicting prior work and tribal knowledge. This paper investigates the 'why'. We identify fundamental challenges that arise in high-dimensional Bayesian optimization and explain why recent methods succeed. Our analysis shows that vanishing gradients caused by Gaussian pr