Zobrazeno 1 - 10
of 108 019
pro vyhledávání: '"Priyanka, A."'
Autor:
Yan, Ziang, Wright, Angus H., Chisari, Nora Elisa, Georgiou, Christos, Joudaki, Shahab, Loureiro, Arthur, Reischke, Robert, Asgari, Marika, Bilicki, Maciej, Dvornik, Andrej, Heymans, Catherine, Hildebrandt, Hendrik, Jalan, Priyanka, Joachimi, Benjamin, Lesci, Giorgio Francesco, Li, Shun-Sheng, Linke, Laila, Mahony, Constance, Moscardini, Lauro, Napolitano, Nicola R., Stoelzner, Benjamin, Von Wietersheim-Kramsta, Maximilian, Yoon, Mijin
Photometric galaxy surveys, despite their limited resolution along the line of sight, encode rich information about the large-scale structure (LSS) of the Universe thanks to the large number density and extensive depth of the data. However, the compl
Externí odkaz:
http://arxiv.org/abs/2410.23141
Session-based recommendation (SR) models aim to recommend top-K items to a user, based on the user's behaviour during the current session. Several SR models are proposed in the literature, however,concerns have been raised about their susceptibility
Externí odkaz:
http://arxiv.org/abs/2410.21892
Federated learning (FL) is a collaborative approach where multiple clients, coordinated by a parameter server (PS), train a unified machine-learning model. The approach, however, suffers from two key challenges: data heterogeneity and communication o
Externí odkaz:
http://arxiv.org/abs/2410.22192
Autor:
Mondal, Priyanka, Markina, Daria I., Hopf, Lennard, Krelle, Lukas, Shradha, Sai, Klein, Julian, Glazov, Mikhail M., Gerber, Iann, Hagmann, Kevin, Klitzing, Regine v., Mosina, Kseniia, Sofer, Zdenek, Urbaszek, Bernhard
Semiconducting CrSBr is a layered A-type antiferromagnet, with individual layers antiferromagnetically coupled along the stacking direction. Due to its unique orthorhombic crystal structure, CrSBr exhibits highly anisotropic mechanical and optoelectr
Externí odkaz:
http://arxiv.org/abs/2410.22164
Autor:
Jin, Yilun, Li, Zheng, Zhang, Chenwei, Cao, Tianyu, Gao, Yifan, Jayarao, Pratik, Li, Mao, Liu, Xin, Sarkhel, Ritesh, Tang, Xianfeng, Wang, Haodong, Wang, Zhengyang, Xu, Wenju, Yang, Jingfeng, Yin, Qingyu, Li, Xian, Nigam, Priyanka, Xu, Yi, Chen, Kai, Yang, Qiang, Jiang, Meng, Yin, Bing
Online shopping is a complex multi-task, few-shot learning problem with a wide and evolving range of entities, relations, and tasks. However, existing models and benchmarks are commonly tailored to specific tasks, falling short of capturing the full
Externí odkaz:
http://arxiv.org/abs/2410.20745
In this article, we propose a new way to handle interactions between two scalar fields in the cosmological backdrop where one scalar field oscillates rapidly in the cosmological time scale while the other does not show any periodic behavior in the sa
Externí odkaz:
http://arxiv.org/abs/2410.20736
Autor:
Mudgal, Priyanka, Liu, Feng
In recent years, learned image compression methods have demonstrated superior rate-distortion performance compared to traditional image compression methods. Recent methods utilize convolutional neural networks (CNN), variational autoencoders (VAE), i
Externí odkaz:
http://arxiv.org/abs/2410.21144
Unequal exposure to air pollution by race and socioeconomic status is well-documented in the U.S. However, there has been relatively little research on inequities in the collection of PM2.5 data, creating a critical gap in understanding which neighbo
Externí odkaz:
http://arxiv.org/abs/2410.18692
Autor:
Gupta, Shashwat, Gokulnath, L., Aggarwal, Akshan, Naz, Mahim, Yadav, Rajnikanth, Bagade, Priyanka
Differentiating between Intestinal Tuberculosis (ITB) and Crohn's Disease (CD) poses a significant clinical challenge due to their similar symptoms, clinical presentations, and imaging features. This study leverages Computed Tomography Enterography (
Externí odkaz:
http://arxiv.org/abs/2410.18161
Autor:
Medlock, Isabel, Neufeld, Chloe, Nagai, Daisuke, Alcázar, Daniel Anglés, Genel, Shy, Oppenheimer, Benjamin, Singh, Priyanka, Villaescusa-Navarro, Francisco
The baryonic physics shaping galaxy formation and evolution are complex, spanning a vast range of scales and making them challenging to model. Cosmological simulations rely on subgrid models that produce significantly different predictions. Understan
Externí odkaz:
http://arxiv.org/abs/2410.16361