Zobrazeno 1 - 10
of 25 539
pro vyhledávání: '"Hamza, P."'
Enterprises are increasingly adopting serverless computing to enhance scalability, reduce costs, and improve efficiency. However, this shift introduces new responsibilities and necessitates a distinct set of skills for practitioners. This study aims
Externí odkaz:
http://arxiv.org/abs/2411.10344
Autor:
Zalevskyi, Vladyslav, Sanchez, Thomas, Roulet, Margaux, Lajous, Hélène, Verdera, Jordina Aviles, Hutter, Jana, Kebiri, Hamza, Cuadra, Meritxell Bach
Fetal brain tissue segmentation in magnetic resonance imaging (MRI) is a crucial tool that supports the understanding of neurodevelopment, yet it faces challenges due to the heterogeneity of data coming from different scanners and settings, and due t
Externí odkaz:
http://arxiv.org/abs/2411.06842
In this work, we significantly expand the web of T-dualities among heterotic NS5-brane theories with eight supercharges. This is achieved by introducing twists involving outer automorphisms of discrete gauge/flavor factors and tensor multiplet permut
Externí odkaz:
http://arxiv.org/abs/2411.05313
We establish a generalized quantum asymptotic equipartition property (AEP) beyond the i.i.d. framework where the random samples are drawn from two sets of quantum states. In particular, under suitable assumptions on the sets, we prove that all operat
Externí odkaz:
http://arxiv.org/abs/2411.04035
Autor:
Grosnit, Antoine, Maraval, Alexandre, Doran, James, Paolo, Giuseppe, Thomas, Albert, Beevi, Refinath Shahul Hameed Nabeezath, Gonzalez, Jonas, Khandelwal, Khyati, Iacobacci, Ignacio, Benechehab, Abdelhakim, Cherkaoui, Hamza, El-Hili, Youssef Attia, Shao, Kun, Hao, Jianye, Yao, Jun, Kegl, Balazs, Bou-Ammar, Haitham, Wang, Jun
We introduce Agent K v1.0, an end-to-end autonomous data science agent designed to automate, optimise, and generalise across diverse data science tasks. Fully automated, Agent K v1.0 manages the entire data science life cycle by learning from experie
Externí odkaz:
http://arxiv.org/abs/2411.03562
We consider the problem of learning the Hamiltonian of a quantum system from estimates of Gibbs-state expectation values. Various methods for achieving this task were proposed recently, both from a practical and theoretical point of view. On the one
Externí odkaz:
http://arxiv.org/abs/2410.23284
Objective: This review aims to analyze the application of natural language processing (NLP) techniques in cancer research using electronic health records (EHRs) and clinical notes. This review addresses gaps in the existing literature by providing a
Externí odkaz:
http://arxiv.org/abs/2410.22180
This paper introduces Ali-AUG, a novel single-step diffusion model for efficient labeled data augmentation in industrial applications. Our method addresses the challenge of limited labeled data by generating synthetic, labeled images with precise fea
Externí odkaz:
http://arxiv.org/abs/2410.18678
Autor:
Vanackere, Tom, Hermans, Artur, Christen, Ian, Panuski, Christopher, Dong, Mark, Zimmermann, Matthew, Raniwala, Hamza, Leenheer, Andrew J., Eichenfield, Matt, Gilbert, Gerald, Englund, Dirk
Advancements in light modulator technology have been driving discoveries and progress across various fields. The problem of large-scale coherent optical control of atomic quantum systems-including cold atoms, ions, and solid-state color centers-prese
Externí odkaz:
http://arxiv.org/abs/2410.19058
We introduce QICS (Quantum Information Conic Solver), an open-source primal-dual interior point solver fully implemented in Python, which is focused on solving optimization problems arising in quantum information theory. QICS has the ability to solve
Externí odkaz:
http://arxiv.org/abs/2410.17803