Zobrazeno 1 - 10
of 36 629
pro vyhledávání: '"Barnett, P"'
Autor:
Willard, Frank, Moffett, Luke, Mokel, Emmanuel, Donnelly, Jon, Guo, Stark, Yang, Julia, Kim, Giyoung, Barnett, Alina Jade, Rudin, Cynthia
Prototypical-part models are a popular interpretable alternative to black-box deep learning models for computer vision. However, they are difficult to train, with high sensitivity to hyperparameter tuning, inhibiting their application to new datasets
Externí odkaz:
http://arxiv.org/abs/2406.14675
Large Language Models (LLMs) have the unique capability to understand and generate human-like text from input queries. When fine-tuned, these models show enhanced performance on domain-specific queries. OpenAI highlights the process of fine-tuning, s
Externí odkaz:
http://arxiv.org/abs/2406.11201
We present an automatic, high-order accurate, and adaptive Brillouin zone integration algorithm for the calculation of the optical conductivity with a non-zero but small broadening factor $\eta$, focusing on the case in which a Hamiltonian in a downf
Externí odkaz:
http://arxiv.org/abs/2406.15466
Autor:
Yang, Julia, Barnett, Alina Jade, Donnelly, Jon, Kishore, Satvik, Fang, Jerry, Schwartz, Fides Regina, Chen, Chaofan, Lo, Joseph Y., Rudin, Cynthia
Digital mammography is essential to breast cancer detection, and deep learning offers promising tools for faster and more accurate mammogram analysis. In radiology and other high-stakes environments, uninterpretable ("black box") deep learning models
Externí odkaz:
http://arxiv.org/abs/2406.06386
Autor:
Sivasothy, Shangeetha, Barnett, Scott, Logothetis, Rena, Abdelrazek, Mohamed, Rasool, Zafaryab, Thudumu, Srikanth, Brannelly, Zac
Engineering safety-critical systems such as medical devices and digital health intervention systems is complex, where long-term engagement with subject-matter experts (SMEs) is needed to capture the systems' expected behaviour. In this paper, we pres
Externí odkaz:
http://arxiv.org/abs/2406.06835
Autor:
Crimin, Frances, Barnett, Stephen M.
Does the cross-product of the position and the electromagnetic momentum density, g, include the optical spin momentum? We answer this long-standing question in the affirmative by evaluating, explicitly, the torque exerted on a particle by a beam of l
Externí odkaz:
http://arxiv.org/abs/2406.04982
Autor:
Bastien, G., Repček, D., Eliáš, A., Kancko, A., Courtade, Q., Haidamak, T., Savinov, M., Bovtun, V., Kempa, M., Carva, K., Vališka, M., Doležal, P., Kratochvílová, M., Barnett, S. A., Proschek, P., Prokleška, J., Kadlec, C., Kužel, P., Colman, R. H., Kamba, S.
The study of magnetic frustration in classical spin systems was motivated by the prediction and discovery of classical spin liquid states. These uncommon magnetic phases are characterized by a massive degeneracy of their ground state implying a finit
Externí odkaz:
http://arxiv.org/abs/2405.19859
Stokes flows with near-touching rigid particles induce near-singular lubrication forces under relative motion, making their accurate numerical treatment challenging. With the aim of controlling the accuracy with a computationally cheap method, we pre
Externí odkaz:
http://arxiv.org/abs/2407.03343
Autor:
Street, Winnie, Siy, John Oliver, Keeling, Geoff, Baranes, Adrien, Barnett, Benjamin, McKibben, Michael, Kanyere, Tatenda, Lentz, Alison, Arcas, Blaise Aguera y, Dunbar, Robin I. M.
This paper examines the extent to which large language models (LLMs) have developed higher-order theory of mind (ToM); the human ability to reason about multiple mental and emotional states in a recursive manner (e.g. I think that you believe that sh
Externí odkaz:
http://arxiv.org/abs/2405.18870
The rapid advancement of AI technologies yields numerous future impacts on individuals and society. Policy-makers are therefore tasked to react quickly and establish policies that mitigate those impacts. However, anticipating the effectiveness of pol
Externí odkaz:
http://arxiv.org/abs/2405.09679