Zobrazeno 1 - 10
of 2 415
pro vyhledávání: '"Kuhnert P"'
Efficient inference in high-dimensional models is a central challenge in machine learning. We introduce the Gaussian Ensemble Belief Propagation (GEnBP) algorithm, which combines the strengths of the Ensemble Kalman Filter (EnKF) and Gaussian Belief
Externí odkaz:
http://arxiv.org/abs/2402.08193
Publikováno v:
IEEE Conference on Artificial Intelligence, 2024
While the operationalisation of high-level AI ethics principles into practical AI/ML systems has made progress, there is still a theory-practice gap in managing tensions between the underlying AI ethics aspects. We cover five approaches for addressin
Externí odkaz:
http://arxiv.org/abs/2401.08103
A single unexpected object on the road can cause an accident or may lead to injuries. To prevent this, we need a reliable mechanism for finding anomalous objects on the road. This task, called anomaly segmentation, can be a stepping stone to safe and
Externí odkaz:
http://arxiv.org/abs/2308.02046
Autor:
Chima V. Maduka, Ashley V. Makela, Anthony Tundo, Evran Ural, Katlin B. Stivers, Maxwell M. Kuhnert, Mohammed Alhaj, Ehsanul Hoque Apu, Nureddin Ashammakhi, Kurt D. Hankenson, Ramani Narayan, Jennifer H. Elisseeff, Christopher H. Contag
Publikováno v:
Bioactive Materials, Vol 40, Iss , Pp 64-73 (2024)
Composite biomaterials comprising polylactide (PLA) and hydroxyapatite (HA) are applied in bone, cartilage and dental regenerative medicine, where HA confers osteoconductive properties. However, after surgical implantation, adverse immune responses t
Externí odkaz:
https://doaj.org/article/409df55790de48dda2d0a7d4616cfc98
Autor:
Carmen Koschollek, Beate Gaertner, Julia Geerlings, Ronny Kuhnert, Elvira Mauz, Claudia Hövener
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Germany is the second most common country of immigration after the US. However, people with own or familial history of migration are not represented proportionately to the population within public health monitoring and reporting.
Externí odkaz:
https://doaj.org/article/a74301272f284f36bc26fb653bc79036
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Chronic pain is a major health issue and rapid population ageing exacerbates the burden to health systems in countries like Germany. Nonpharmacological interventions (NPIs) are essential in pain care and the prioritization of acti
Externí odkaz:
https://doaj.org/article/ac54370564a541bc85561fada442b573
Classical physical modelling with associated numerical simulation (model-based), and prognostic methods based on the analysis of large amounts of data (data-driven) are the two most common methods used for the mapping of complex physical processes. I
Externí odkaz:
http://arxiv.org/abs/2307.04166
Publikováno v:
Procedia Computer Science, Vol. 222, pp. 367-376, 2023
Wildfire propagation is a highly stochastic process where small changes in environmental conditions (such as wind speed and direction) can lead to large changes in observed behaviour. A traditional approach to quantify uncertainty in fire-front progr
Externí odkaz:
http://arxiv.org/abs/2305.06139
We present a novel approach of discretizing variable coefficient diffusion operators in the context of meshfree generalized finite difference methods. Our ansatz uses properties of derived operators and combines the discrete Laplace operator with rec
Externí odkaz:
http://arxiv.org/abs/2305.01320
Autor:
Abate, Marcus, Schwartz, Ariel, Wong, Xue Iuan, Luo, Wangdong, Littman, Rotem, Klinger, Marc, Kuhnert, Lars, Blue, Douglas, Carlone, Luca
Localization and mapping are key capabilities for self-driving vehicles. In this paper, we build on Kimera and extend it to use multiple cameras as well as external (eg wheel) odometry sensors, to obtain accurate and robust odometry estimates in real
Externí odkaz:
http://arxiv.org/abs/2304.13182