Zobrazeno 1 - 10
of 23 874
pro vyhledávání: '"A Jamali"'
Masked Autoencoders (MAEs) are an important divide in self-supervised learning (SSL) due to their independence from augmentation techniques for generating positive (and/or negative) pairs as in contrastive frameworks. Their masking and reconstruction
Externí odkaz:
http://arxiv.org/abs/2412.02871
In this work, we present MOLPIPx, a versatile library designed to seamlessly integrate Permutationally Invariant Polynomials (PIPs) with modern machine learning frameworks, enabling the efficient development of linear models, neural networks, and Gau
Externí odkaz:
http://arxiv.org/abs/2411.17011
In today's digital landscape, video content dominates internet traffic, underscoring the need for efficient video processing to support seamless live streaming experiences on platforms like YouTube Live, Twitch, and Facebook Live. This paper introduc
Externí odkaz:
http://arxiv.org/abs/2411.14613
Liquid crystal (LC) technology enables low-power and cost-effective solutions for implementing the reconfigurable intelligent surface (RIS). However, the phase-shift response of LC-RISs is temperature-dependent, which, if unaddressed, can degrade the
Externí odkaz:
http://arxiv.org/abs/2411.12342
Autor:
Cretu, Sorina, Folastre, Nicolas, Troadec, David, Andersen, Ingrid Marie, Straubinge, Rainer, Krans, Nynke A., Aguy, Stéphane, Jamali, Arash, Duchamp, Martial, Demortière, Arnaud
All-solid-state batteries hold great promise for electric vehicle applications due to their enhanced safety and higher energy density. However, further performance optimization requires a deeper understanding of their degradation mechanisms, particul
Externí odkaz:
http://arxiv.org/abs/2411.01581
Autor:
Abanto-Leon, Luis F., Neuder, Robin, Ahmed, Waqar, Saez, Alejandro Jimenez, Jamali, Vahid, Asadi, Arash
Reconfigurable intelligent surfaces (RISs) offer enhanced control over propagation through phase and amplitude manipulation but face practical challenges like cost and power usage, especially at high frequencies. This is specifically a major problem
Externí odkaz:
http://arxiv.org/abs/2410.21506
Identification over Affine Poisson Channels: Applications to Molecular Mixture Communication Systems
Identification capacity has been established as a relevant performance metric for various goal-/task-oriented applications, where the receiver may be interested in only a particular message that represents an event or a task. For example, in olfactor
Externí odkaz:
http://arxiv.org/abs/2410.11569
While large language models (LLMs) have exhibited impressive conversational capabilities, their proficiency in delivering personalized responses remains unclear. Although recent benchmarks automatically evaluate persona consistency in role-playing co
Externí odkaz:
http://arxiv.org/abs/2410.03198
In this paper, we study a network of distributed radar sensors that collaboratively perform sensing tasks by transmitting their quantized radar signals over capacity-constrained fronthaul links to a central unit for joint processing. We consider per-
Externí odkaz:
http://arxiv.org/abs/2409.17753
Autor:
Delbari, Mohamadreza, Alexandropoulos, George C., Schober, Robert, Poor, H. Vincent, Jamali, Vahid
Near-field (NF) communications is receiving renewed attention in the context of passive reconfigurable intelligent surfaces (RISs) due to their potentially extremely large dimensions. Although line-of-sight (LOS) links are expected to be dominant in
Externí odkaz:
http://arxiv.org/abs/2409.17041