Zobrazeno 1 - 10
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pro vyhledávání: '"P. Barnett"'
Autor:
P. Barnett, R. Saunders, J. E. Buckman, S. A. Naqvi, S. Singh, J. Stott, J. Wheatley, S. Pilling
Publikováno v:
European Psychiatry, Vol 67, Pp S708-S709 (2024)
Introduction Attendance at university can result in social support network disruption. This can have a negative impact on the mental health of young people. Demand for mental health support continues to increase in universities, making identification
Externí odkaz:
https://doaj.org/article/048ae6b9f9524758af1fe55fb94806ae
Autor:
P. Barnett
Publikováno v:
European Psychiatry, Vol 66, Pp S17-S17 (2023)
Abstract: Introduction Mental health problems are increasingly prevalent among students, necessitating adequate mental health support both for those who with or at risk of developing a mental health disorder. Objectives This systematic review examin
Externí odkaz:
https://doaj.org/article/5864a13cba294bb6bc1f97cc8d7935f7
Autor:
Barnett, Peter, Thiergart, Lisa
As AI systems advance, AI evaluations are becoming an important pillar of regulations for ensuring safety. We argue that such regulation should require developers to explicitly identify and justify key underlying assumptions about evaluations as part
Externí odkaz:
http://arxiv.org/abs/2411.12820
Autor:
Ren, Benny, Barnett, Ian, Shou, Haochang, Rubin, Jeremy, Zhu, Hongxiao, Conway, Terry, Cain, Kelli, Saelens, Brian, Glanz, Karen, Sallis, James, Morris, Jeffrey S.
In the age of digital healthcare, passively collected physical activity profiles from wearable sensors are a preeminent tool for evaluating health outcomes. In order to fully leverage the vast amounts of data collected through wearable accelerometers
Externí odkaz:
http://arxiv.org/abs/2411.12585
Autor:
Glazer, Elliot, Erdil, Ege, Besiroglu, Tamay, Chicharro, Diego, Chen, Evan, Gunning, Alex, Olsson, Caroline Falkman, Denain, Jean-Stanislas, Ho, Anson, Santos, Emily de Oliveira, Järviniemi, Olli, Barnett, Matthew, Sandler, Robert, Vrzala, Matej, Sevilla, Jaime, Ren, Qiuyu, Pratt, Elizabeth, Levine, Lionel, Barkley, Grant, Stewart, Natalie, Grechuk, Bogdan, Grechuk, Tetiana, Enugandla, Shreepranav Varma, Wildon, Mark
We introduce FrontierMath, a benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians. The questions cover most major branches of modern mathematics -- from computationally intensiv
Externí odkaz:
http://arxiv.org/abs/2411.04872
Autor:
Agnew, William, Barnett, Julia, Chu, Annie, Hong, Rachel, Feffer, Michael, Netzorg, Robin, Jiang, Harry H., Awumey, Ezra, Das, Sauvik
Generative audio models are rapidly advancing in both capabilities and public utilization -- several powerful generative audio models have readily available open weights, and some tech companies have released high quality generative audio products. Y
Externí odkaz:
http://arxiv.org/abs/2410.13114
Autor:
Mandati, Reddy, Anderson, Vladyslav, Chen, Po-chen, Agarwal, Ankush, Dokic, Tatjana, Barnard, David, Finn, Michael, Cromer, Jesse, Mccauley, Andrew, Tutaj, Clay, Dave, Neha, Besharati, Bobby, Barnett, Jamie, Krall, Timothy
In the past utilities relied on in-field inspections to identify asset defects. Recently, utilities have started using drone-based inspections to enhance the field-inspection process. We consider a vast repository of drone images, providing a wealth
Externí odkaz:
http://arxiv.org/abs/2410.11967
This paper presents and evaluates a framework for the coupling of subdomain-local projection-based reduced order models (PROMs) using the Schwarz alternating method following a domain decomposition (DD) of the spatial domain on which a given problem
Externí odkaz:
http://arxiv.org/abs/2410.04668
Autor:
Barnett, Michael
I study the dynamic, general equilibrium implications of climate-change-linked transition risk on macroeconomic outcomes and asset prices. Climate-change-linked expectations of fossil fuel restrictions can produce a ``run on fossil fuels'' with accel
Externí odkaz:
http://arxiv.org/abs/2410.00902
This work introduces Text2FX, a method that leverages CLAP embeddings and differentiable digital signal processing to control audio effects, such as equalization and reverberation, using open-vocabulary natural language prompts (e.g., "make this soun
Externí odkaz:
http://arxiv.org/abs/2409.18847