Zobrazeno 1 - 10
of 1 756
pro vyhledávání: '"Díaz, Fernando"'
Autor:
Kubler, Daniel, Smith, David A., Nguyen, Tommy, Ramos-Diaz, Fernando, Emori, Satoru, Amin, Vivek P.
Spin torque oscillators are spintronic devices that generate a periodic output signal from a non-periodic input, making them promising candidates for applications like microwave communications and neuromorphic computing. However, traditional spin tor
Externí odkaz:
http://arxiv.org/abs/2407.00895
Echo chamber effects in social networks are generally attributed to the prevalence of interactions among like-minded peers. However, recent evidence has emphasized the role of hostile interactions between opposite-minded groups. Here, we model inform
Externí odkaz:
http://arxiv.org/abs/2406.17435
Autor:
Bhatt, Shaily, Diaz, Fernando
Productive interactions between diverse users and language technologies require outputs from the latter to be culturally relevant and sensitive. Prior works have evaluated models' knowledge of cultural norms, values, and artifacts, without considerin
Externí odkaz:
http://arxiv.org/abs/2406.11565
Quaternions, discovered by Sir William Rowan Hamilton in the 19th century, are a significant extension of complex numbers and a profound tool for understanding three-dimensional rotations. This work explores the quaternion's history, algebraic struct
Externí odkaz:
http://arxiv.org/abs/2406.00747
Ultrafast electron diffraction (UED) instruments typically operate at kHz or lower repetition rates and rely on indirect detection of electrons. However, these experiments encounter limitations because they are required to use electron beams containi
Externí odkaz:
http://arxiv.org/abs/2405.00927
Autor:
Diaz-Diaz, Fernando, Estrada, Ernesto
Signed graphs are an emergent way of representing data in a variety of contexts were conflicting interactions exist. These include data from biological, ecological, and social systems. Here we propose the concept of communicability geometry for signe
Externí odkaz:
http://arxiv.org/abs/2403.07493
Autor:
Wu, Haolun, Meshi, Ofer, Zoghi, Masrour, Diaz, Fernando, Liu, Xue, Boutilier, Craig, Karimzadehgan, Maryam
Accurate modeling of the diverse and dynamic interests of users remains a significant challenge in the design of personalized recommender systems. Existing user modeling methods, like single-point and multi-point representations, have limitations w.r
Externí odkaz:
http://arxiv.org/abs/2310.20091
Current practice for evaluating recommender systems typically focuses on point estimates of user-oriented effectiveness metrics or business metrics, sometimes combined with additional metrics for considerations such as diversity and novelty. In this
Externí odkaz:
http://arxiv.org/abs/2309.05892
As online music platforms grow, music recommender systems play a vital role in helping users navigate and discover content within their vast musical databases. At odds with this larger goal, is the presence of popularity bias, which causes algorithmi
Externí odkaz:
http://arxiv.org/abs/2308.14601
When learning to rank from user interactions, search and recommender systems must address biases in user behavior to provide a high-quality ranking. One type of bias that has recently been studied in the ranking literature is when sensitive attribute
Externí odkaz:
http://arxiv.org/abs/2308.02887