Zobrazeno 1 - 10
of 48 336
pro vyhledávání: '"A Fathi"'
We present Visual Lexicon, a novel visual language that encodes rich image information into the text space of vocabulary tokens while retaining intricate visual details that are often challenging to convey in natural language. Unlike traditional meth
Externí odkaz:
http://arxiv.org/abs/2412.06774
This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids. We investigate the effectiveness of these quantum algorithms in comparison to classical method
Externí odkaz:
http://arxiv.org/abs/2412.06177
Autor:
Zha, Kaiwen, Yu, Lijun, Fathi, Alireza, Ross, David A., Schmid, Cordelia, Katabi, Dina, Gu, Xiuye
Image tokenization, the process of transforming raw image pixels into a compact low-dimensional latent representation, has proven crucial for scalable and efficient image generation. However, mainstream image tokenization methods generally have limit
Externí odkaz:
http://arxiv.org/abs/2412.05796
Autor:
Salmanpour, Mohammad R., Gorji, Arman, Mousavi, Amin, Jouzdani, Ali Fathi, Sanati, Nima, Maghsudi, Mehdi, Leung, Bonnie, Ho, Cheryl, Yuan, Ren, Rahmim, Arman
Objective: This study explores a semi-supervised learning (SSL), pseudo-labeled strategy using diverse datasets to enhance lung cancer (LCa) survival predictions, analyzing Handcrafted and Deep Radiomic Features (HRF/DRF) from PET/CT scans with Hybri
Externí odkaz:
http://arxiv.org/abs/2412.00068
Autor:
Fathi, Mohsen
We investigate the shadow properties of a rotating black hole with a weakly coupled global monopole charge, using a modified Newman-Janis algorithm. This study explores how this charge and rotational effects shape the black hole's shadow, causal stru
Externí odkaz:
http://arxiv.org/abs/2411.08564
Web-scale visual entity recognition, the task of associating images with their corresponding entities within vast knowledge bases like Wikipedia, presents significant challenges due to the lack of clean, large-scale training data. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2410.23676
Autor:
Hafshejani, Sajad Fathi, Gaur, Daya, Dasgupta, Arundhati, Benkoczi, Robert, Gosala, Narasimha, Iorio, Alfredo
Publikováno v:
Entropy; 2024
We develop a hybrid classical-quantum method for solving the Lorenz system. We use the forward Euler method to discretize the system in time, transforming it into a system of equations. This set of equations is solved using the Variational Quantum Li
Externí odkaz:
http://arxiv.org/abs/2410.15417
Autor:
Elmoznino, Eric, Marty, Tom, Kasetty, Tejas, Gagnon, Leo, Mittal, Sarthak, Fathi, Mahan, Sridhar, Dhanya, Lajoie, Guillaume
A central goal of machine learning is generalization. While the No Free Lunch Theorem states that we cannot obtain theoretical guarantees for generalization without further assumptions, in practice we observe that simple models which explain the trai
Externí odkaz:
http://arxiv.org/abs/2410.14086
Autor:
Aribi, Fathi Ben, Wong, Ka Ho
In this paper, we propose an asymptotic expansion conjecture for the partition functions in Teichm\"uller TQFT; we then prove this conjecture for all FAMED geometric triangulations of hyperbolic knot complements, where FAMED means that the triangulat
Externí odkaz:
http://arxiv.org/abs/2410.10776
This work is dedicated to the study of a linear model arising in thermoelastic rod of homogeneous material. The system is resulting from a coupling of a heat and a wave equation in the interval $(0,1)$ with Dirichlet boundary conditions at the outer
Externí odkaz:
http://arxiv.org/abs/2410.06732