Zobrazeno 1 - 10
of 37 133
pro vyhledávání: '"ALP, A."'
Many real-world multiagent learning problems involve safety concerns. In these setups, typical safe reinforcement learning algorithms constrain agents' behavior, limiting exploration -- a crucial component for discovering effective cooperative multia
Externí odkaz:
http://arxiv.org/abs/2412.20361
Cell-free massive MIMO improves the fairness among the user equipments (UEs) in the network by distributing many cooperating access points (APs) around the region while connecting them to a centralized cloud-computing unit that coordinates joint tran
Externí odkaz:
http://arxiv.org/abs/2412.02771
Integrated sensing and communication (ISAC) is a promising technology for future mobile networks, enabling sensing applications to be performed by existing communication networks, consequently improving the system efficiency. Millimeter wave (mmWave)
Externí odkaz:
http://arxiv.org/abs/2412.02649
Autor:
Kurtz, Felix, von Witte, Gevin, Jehn, Lukas, Akbiyik, Alp, Vinograd, Igor, Tacon, Matthieu Le, Haghighirad, Amir A., Chen, Dong, Shekhar, Chandra, Felser, Claudia, Ropers, Claus
The discovery of the kagome metal CsV$_3$Sb$_5$ sparked broad interest, due to the coexistence of a charge density wave (CDW) phase and possible unconventional superconductivity in the material. In this study, we use low-energy electron diffraction (
Externí odkaz:
http://arxiv.org/abs/2412.02599
We introduce an extension of the Difference of Convex Algorithm (DCA) in the form of a block coordinate approach for problems with separable structure. For $n$ coordinate-blocks and $k$ iterations, our main result proves a non-asymptotic convergence
Externí odkaz:
http://arxiv.org/abs/2411.11664
Neuron importance assessment is crucial for understanding the inner workings of artificial neural networks (ANNs) and improving their interpretability and efficiency. This paper introduces a novel approach to neuron significance assessment inspired b
Externí odkaz:
http://arxiv.org/abs/2411.10084
Integrated sensing and communications (ISAC) allows networks to perform sensing alongside data transmission. While most ISAC studies focus on single-target, multi-user scenarios, multi-target sensing is scarcely researched. This letter examines the m
Externí odkaz:
http://arxiv.org/abs/2410.22532
Solving non-convex, NP-hard optimization problems is crucial for training machine learning models, including neural networks. However, non-convexity often leads to black-box machine learning models with unclear inner workings. While convex formulatio
Externí odkaz:
http://arxiv.org/abs/2410.22311
Resonance is a well-known phenomenon that happens in systems with second order dynamics. In this paper we address the fundamental question of making a network robust to signal being periodically pumped into it at or near a resonant frequency by an ad
Externí odkaz:
http://arxiv.org/abs/2410.00126
Autor:
Mittu, Fazal, Bu, Yihuan, Gupta, Akshat, Devireddy, Ashok, Ozdarendeli, Alp Eren, Singh, Anant, Anumanchipalli, Gopala
While the language modeling objective has been shown to be deeply connected with compression, it is surprising that modern LLMs are not employed in practical text compression systems. In this paper, we provide an in-depth analysis of neural network a
Externí odkaz:
http://arxiv.org/abs/2409.17141