Zobrazeno 1 - 10
of 130 654
pro vyhledávání: '"Salman, A"'
In this paper we propose efficient randomized fixed-precision techniques for low tubal rank approximation of tensors. The proposed methods are faster and more efficient than the existing fixed-precision algorithms for approximating the truncated tens
Externí odkaz:
http://arxiv.org/abs/2412.02598
This paper proposes fast randomized algorithms for computing the Kronecker Tensor Decomposition (KTD). The proposed algorithms can decompose a given tensor into the KTD format much faster than the existing state-of-the-art algorithms. Our principal i
Externí odkaz:
http://arxiv.org/abs/2412.02597
Autor:
Lamari, Mathias, Kerfriden, Pierre, Salman, Oguz Umut, Yastrebov, Vladislav, Ammar, Kais, Forest, Samuel
Plastic flow is conventionally treated as continuous in finite element (FE) codes, whether in isotropic, anisotropic plasticity, or crystal plasticity. This approach, derived from continuum mechanics, contradicts the intermittent nature of plasticity
Externí odkaz:
http://arxiv.org/abs/2412.02475
Self-supervised learning (SSL) frameworks consist of pretext task, and loss function aiming to learn useful general features from unlabeled data. The basic idea of most SSL baselines revolves around enforcing the invariance to a variety of data augme
Externí odkaz:
http://arxiv.org/abs/2412.02896
Self Supervised learning (SSL) has demonstrated its effectiveness in feature learning from unlabeled data. Regarding this success, there have been some arguments on the role that mutual information plays within the SSL framework. Some works argued fo
Externí odkaz:
http://arxiv.org/abs/2412.02121
The success of self-supervised learning (SSL) has been the focus of multiple recent theoretical and empirical studies, including the role of data augmentation (in feature decoupling) as well as complete and dimensional representation collapse. While
Externí odkaz:
http://arxiv.org/abs/2412.02109
Intersections pose critical challenges in traffic management, where maintaining operational constraints and ensuring safety are essential for efficient flow. This paper investigates the effect of intervention timing in management strategies on mainta
Externí odkaz:
http://arxiv.org/abs/2411.19582
Autor:
Danish, Muhammad Sohail, Munir, Muhammad Akhtar, Shah, Syed Roshaan Ali, Kuckreja, Kartik, Khan, Fahad Shahbaz, Fraccaro, Paolo, Lacoste, Alexandre, Khan, Salman
While numerous recent benchmarks focus on evaluating generic Vision-Language Models (VLMs), they fall short in addressing the unique demands of geospatial applications. Generic VLM benchmarks are not designed to handle the complexities of geospatial
Externí odkaz:
http://arxiv.org/abs/2411.19325
This paper introduces a novel collaborative neurodynamic model for computing nonnegative Canonical Polyadic Decomposition (CPD). The model relies on a system of recurrent neural networks to solve the underlying nonconvex optimization problem associat
Externí odkaz:
http://arxiv.org/abs/2411.18127
Autor:
Graham, J. N., Islam, S. S., Sazgari, V., Li, Y., Deng, H., Janka, G., Zhong, Y., Gerguri, O., Kral, P., Doll, A., Bialo, I., Chang, J., Salman, Z., Suter, A., Prokscha, T., Yao, Y., Okazaki, K., Luetkens, H., Khasanov, R., Wang, Z., Yin, J. -X., Guguchia, Z.
The experimental realisation of unconventional superconductivity and charge order in kagome systems \textit{A}V$_3$Sb$_5$ is of critical importance. We conducted a highly systematic study of Cs(V$_{1-x}$Nb$_x$)$_3$Sb$_5$ with $x$=0.07 (Nb$_{0.07}$-CV
Externí odkaz:
http://arxiv.org/abs/2411.18744