Zobrazeno 1 - 10
of 56 509
pro vyhledávání: '"Anis, A"'
Autor:
Nacar, Omer, Koubaa, Anis
This work presents a novel framework for training Arabic nested embedding models through Matryoshka Embedding Learning, leveraging multilingual, Arabic-specific, and English-based models, to highlight the power of nested embeddings models in various
Externí odkaz:
http://arxiv.org/abs/2407.21139
Autor:
Hamadouche, Anis, Sellathurai, Mathini
This paper addresses the optimisation challenges in Ultra-Massive MIMO communication systems, focusing on array selection and beamforming in dynamic and diverse operational contexts. We introduce a novel array selection criterion that incorporates an
Externí odkaz:
http://arxiv.org/abs/2407.20135
Autor:
Hamadouche, Anis, Sellathurai, Mathini
In this paper, we present an advanced model for Channel State Information (CSI) tracking, leveraging a dynamical system approach to adapt CSI dynamically based on exogenous contextual information. This methodology allows for continuous updates to the
Externí odkaz:
http://arxiv.org/abs/2407.20123
This study develops a real-time framework for estimating the risk of near-misses by using high-fidelity two-dimensional (2D) risk indicator time-to-collision (TTC), which is calculated from high-resolution data collected by autonomous vehicles (AVs).
Externí odkaz:
http://arxiv.org/abs/2407.16832
Autor:
Amziane, Anis
Multispectral (MS) snapshot cameras equipped with a MS filter array (MSFA), capture multiple spectral bands in a single shot, resulting in a raw mosaic image where each pixel holds only one channel value. The fully-defined MS image is estimated from
Externí odkaz:
http://arxiv.org/abs/2407.15472
Autor:
Longpre, Shayne, Mahari, Robert, Lee, Ariel, Lund, Campbell, Oderinwale, Hamidah, Brannon, William, Saxena, Nayan, Obeng-Marnu, Naana, South, Tobin, Hunter, Cole, Klyman, Kevin, Klamm, Christopher, Schoelkopf, Hailey, Singh, Nikhil, Cherep, Manuel, Anis, Ahmad, Dinh, An, Chitongo, Caroline, Yin, Da, Sileo, Damien, Mataciunas, Deividas, Misra, Diganta, Alghamdi, Emad, Shippole, Enrico, Zhang, Jianguo, Materzynska, Joanna, Qian, Kun, Tiwary, Kush, Miranda, Lester, Dey, Manan, Liang, Minnie, Hamdy, Mohammed, Muennighoff, Niklas, Ye, Seonghyeon, Kim, Seungone, Mohanty, Shrestha, Gupta, Vipul, Sharma, Vivek, Chien, Vu Minh, Zhou, Xuhui, Li, Yizhi, Xiong, Caiming, Villa, Luis, Biderman, Stella, Li, Hanlin, Ippolito, Daphne, Hooker, Sara, Kabbara, Jad, Pentland, Sandy
General-purpose artificial intelligence (AI) systems are built on massive swathes of public web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge, we conduct the first, large-scale, longitudinal audit of the consent pro
Externí odkaz:
http://arxiv.org/abs/2407.14933
Autor:
Karadeniz, Ahmet Serdar, Mallis, Dimitrios, Mejri, Nesryne, Cherenkova, Kseniya, Kacem, Anis, Aouada, Djamila
We propose PICASSO, a novel framework CAD sketch parameterization from hand-drawn or precise sketch images via rendering self-supervision. Given a drawing of a CAD sketch, the proposed framework turns it into parametric primitives that can be importe
Externí odkaz:
http://arxiv.org/abs/2407.13394
This study compares Term Frequency-Inverse Document Frequency (TF-IDF) features with Sentence Transformers for detecting writers' stances--favorable, opposing, or neutral--towards three significant topics: COVID-19 vaccine, digital transformation, an
Externí odkaz:
http://arxiv.org/abs/2407.13603
Autor:
Dupont, Elona, Cherenkova, Kseniya, Mallis, Dimitrios, Gusev, Gleb, Kacem, Anis, Aouada, Djamila
3D reverse engineering, in which a CAD model is inferred given a 3D scan of a physical object, is a research direction that offers many promising practical applications. This paper proposes TransCAD, an end-to-end transformer-based architecture that
Externí odkaz:
http://arxiv.org/abs/2407.12702
This paper addresses the challenge of obtaining precise demographic information at a fine-grained spatial level, a necessity for planning localized public services such as water distribution networks, or understanding local human impacts on the ecosy
Externí odkaz:
http://arxiv.org/abs/2407.11173