Zobrazeno 1 - 10
of 451 058
pro vyhledávání: '"A., AMIR"'
Autor:
Saberi, Amir Hossein, Najafi, Amir, Emrani, Ala, Behjati, Amin, Zolfimoselo, Yasaman, Shadrooy, Mahdi, Motahari, Abolfazl, Khalaj, Babak H.
The aim of this paper is to address the challenge of gradual domain adaptation within a class of manifold-constrained data distributions. In particular, we consider a sequence of $T\ge2$ data distributions $P_1,\ldots,P_T$ undergoing a gradual shift,
Externí odkaz:
http://arxiv.org/abs/2410.14061
We study $H\to ZZ^\star$ production process in final four lepton states at $13$ TeV LHC within SMEFT framework. The anomalous $HZZ$ couplings are parameterized with dimension-6 $SU(2)_L\times U(1)_Y$ gauge invariant operators. We compute the eight po
Externí odkaz:
http://arxiv.org/abs/2411.19171
In-memory computing (IMC) offloads parts of the computations to memory to fulfill the performance and energy demands of applications such as neuromorphic computing, machine learning, and image processing. Fortunately, the main features that stochasti
Externí odkaz:
http://arxiv.org/abs/2411.19344
Autor:
Tavanaei, Amir, Koo, Kee Kiat, Ceker, Hayreddin, Jiang, Shaobai, Li, Qi, Han, Julien, Bouyarmane, Karim
In this paper, we study the problem of generating structured objects that conform to a complex schema, with intricate dependencies between the different components (facets) of the object. The facets of the object (attributes, fields, columns, propert
Externí odkaz:
http://arxiv.org/abs/2411.19301
Reinforcement Learning (RL) has emerged as a powerful paradigm in Artificial Intelligence (AI), enabling agents to learn optimal behaviors through interactions with their environments. Drawing from the foundations of trial and error, RL equips agents
Externí odkaz:
http://arxiv.org/abs/2411.18892
This study investigated the factors contributing to the failure of augmented reality (AR) and virtual reality (VR) startups in the emerging metaverse landscape. Through an in-depth analysis of 29 failed AR/VR startups from 2016 to 2022, key pitfalls
Externí odkaz:
http://arxiv.org/abs/2411.17541
Autor:
Vanthieghem, Arno, Levinson, Amir
In this paper, the first in a series, we present a new theoretical model for the global structure and dissipation of relativistically magnetized collisionless shock waves. Quite remarkably, we find that in contrast to unmagnetized shocks, energy diss
Externí odkaz:
http://arxiv.org/abs/2411.16484
Continuously graded ferromagnetic thin films represent a new class of magnonic materials, where a spin-wave resonance spectrum can be tuned in resonance frequencies/fields, number of modes and even dispersion law by the magnetic properties profiling
Externí odkaz:
http://arxiv.org/abs/2411.16323
Adaptive data analysis (ADA) involves a dynamic interaction between an analyst and a dataset owner, where the analyst submits queries sequentially, adapting them based on previous answers. This process can become adversarial, as the analyst may attem
Externí odkaz:
http://arxiv.org/abs/2411.15948
Autor:
Ofir, Amir, Ben-Artzi, Gil
We present a novel approach for accelerating convolutions during inference for CPU-based architectures. The most common method of computation involves packing the image into the columns of a matrix (im2col) and performing general matrix multiplicatio
Externí odkaz:
http://arxiv.org/abs/2411.15659