Zobrazeno 1 - 10
of 47 056
pro vyhledávání: '"A Magnusson"'
Publikováno v:
Child and Adolescent Psychiatry and Mental Health, Vol 18, Iss 1, Pp 1-11 (2024)
Abstract Background Nonsuicidal self-injury (NSSI) is associated with stigma, and negative attitudes among healthcare professionals toward NSSI have been reported. A person-centered approach that focuses on how individuals with lived experience of NS
Externí odkaz:
https://doaj.org/article/98aae467d36f4489bf29653a3fc54f18
Compromise estimation entails using a weighted average of outputs from several candidate models, and is a viable alternative to model selection when the choice of model is not obvious. As such, it is a tool used by both frequentists and Bayesians, an
Externí odkaz:
http://arxiv.org/abs/2411.01884
Autor:
Na, Clara, Magnusson, Ian, Jha, Ananya Harsh, Sherborne, Tom, Strubell, Emma, Dodge, Jesse, Dasigi, Pradeep
Training data compositions for Large Language Models (LLMs) can significantly affect their downstream performance. However, a thorough data ablation study exploring large sets of candidate data mixtures is typically prohibitively expensive since the
Externí odkaz:
http://arxiv.org/abs/2410.15661
Autor:
Zhu, Yufei, Rudenko, Andrey, Palmieri, Luigi, Heuer, Lukas, Lilienthal, Achim J., Magnusson, Martin
Maps of dynamics are effective representations of motion patterns learned from prior observations, with recent research demonstrating their ability to enhance performance in various downstream tasks such as human-aware robot navigation, long-term hum
Externí odkaz:
http://arxiv.org/abs/2410.12237
Autor:
Magnusson, Måns, Torgander, Jakob, Bürkner, Paul-Christian, Zhang, Lu, Carpenter, Bob, Vehtari, Aki
The generality and robustness of inference algorithms is critical to the success of widely used probabilistic programming languages such as Stan, PyMC, Pyro, and Turing.jl. When designing a new general-purpose inference algorithm, whether it involves
Externí odkaz:
http://arxiv.org/abs/2407.04967
Autor:
Sargeant, Holli, Magnusson, Måns
We study the legal challenges in automated decision-making by analysing conventional algorithmic fairness approaches and their alignment with antidiscrimination law in the United Kingdom and other jurisdictions based on English common law. By transla
Externí odkaz:
http://arxiv.org/abs/2407.00400
Publikováno v:
2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)
The human gaze is an important cue to signal intention, attention, distraction, and the regions of interest in the immediate surroundings. Gaze tracking can transform how robots perceive, understand, and react to people, enabling new modes of robot c
Externí odkaz:
http://arxiv.org/abs/2406.06300
Autor:
Lang, Simon, Alexe, Mihai, Chantry, Matthew, Dramsch, Jesper, Pinault, Florian, Raoult, Baudouin, Clare, Mariana C. A., Lessig, Christian, Maier-Gerber, Michael, Magnusson, Linus, Bouallègue, Zied Ben, Nemesio, Ana Prieto, Dueben, Peter D., Brown, Andrew, Pappenberger, Florian, Rabier, Florence
Machine learning-based weather forecasting models have quickly emerged as a promising methodology for accurate medium-range global weather forecasting. Here, we introduce the Artificial Intelligence Forecasting System (AIFS), a data driven forecast m
Externí odkaz:
http://arxiv.org/abs/2406.01465
In this note we show that a weakly geometrically flat map $\pi$ : M $\rightarrow$ N between pure dimensional complex spaces has the local lifting property for cycles. From this result we also deduce that, under these hypotheses, several properties of
Externí odkaz:
http://arxiv.org/abs/2404.19522
Autor:
Magnusson, Robert, Ko, Yeong H., Lee, Kyu J., Simlan, Fairooz A., Bootpakdeetam, Pawarat, Chen, Renjie, Weidanz, Debra Wawro, Gimlin, Susanne, Ghaffari, Soroush
We present subwavelength resonant lattices fashioned as nano- and microstructured films as a basis for a host of device concepts. Whereas the canonical physical properties are fully embodied in a one-dimensional periodic lattice, the final device con
Externí odkaz:
http://arxiv.org/abs/2404.13167