Zobrazeno 1 - 10
of 5 442
pro vyhledávání: '"Yarden, A."'
Autor:
Eini, Tomer, Quintela, M. F. C. Martins, Henriques, J. C. G., Ribeiro, R. M., Mazor, Yarden, Peres, N. M. R., Epstein, Itai
Collective excitations of charged particles in response to electromagnetic fields give rise to a rich variety of hybrid light-matter quasiparticles with unique properties. In metals, intraband collective response characterized by negative permittivit
Externí odkaz:
http://arxiv.org/abs/2412.03139
Publikováno v:
Physica A, Statistical Mechanics and its Applications (2024), 130166
Significant variations of delays among connecting neurons cause an inevitable disadvantage of asynchronous brain dynamics compared to synchronous deep learning. However, this study demonstrates that this disadvantage can be converted into a computati
Externí odkaz:
http://arxiv.org/abs/2410.11384
We present protocols for preparing two-dimensional abelian and non-abelian topologically ordered states by employing finite depth unitary circuits composed of long-ranged, simultaneous, and mutually commuting two-qubit gates. Our protocols are motiva
Externí odkaz:
http://arxiv.org/abs/2410.11602
Autor:
As, Yarden, Sukhija, Bhavya, Treven, Lenart, Sferrazza, Carmelo, Coros, Stelian, Krause, Andreas
Reinforcement learning (RL) is ubiquitous in the development of modern AI systems. However, state-of-the-art RL agents require extensive, and potentially unsafe, interactions with their environments to learn effectively. These limitations confine RL
Externí odkaz:
http://arxiv.org/abs/2410.09486
The open-ended coaxial probe (OECP) technique is one of the most commonly used methods for the characterization of homogeneous media properties, especially in the biomedical sciences. However, when considering inhomogeneous media, the effect of the h
Externí odkaz:
http://arxiv.org/abs/2409.19651
Nanoscale magnetic resonance imaging (nanoMRI) aims at obtaining structure at the single molecule level. Most of the techniques for effecting a nanoMRI gradient use small permanent magnets. Here, we present a switchable magnetic field gradient on a t
Externí odkaz:
http://arxiv.org/abs/2409.17690
The ability to map left ventricle (LV) myocardial motion using computed tomography angiography (CTA) is essential to diagnosing cardiovascular conditions and guiding interventional procedures. Due to their inherent locality, conventional neural netwo
Externí odkaz:
http://arxiv.org/abs/2407.03794
Autor:
Cohen, Yarden, Navarro, Alexandre Khae Wu, Frellsen, Jes, Turner, Richard E., Riemer, Raziel, Pakman, Ari
The need for regression models to predict circular values arises in many scientific fields. In this work we explore a family of expressive and interpretable distributions over circle-valued random functions related to Gaussian processes targeting two
Externí odkaz:
http://arxiv.org/abs/2406.13151
Reinforcement learning (RL) excels in optimizing policies for discrete-time Markov decision processes (MDP). However, various systems are inherently continuous in time, making discrete-time MDPs an inexact modeling choice. In many applications, such
Externí odkaz:
http://arxiv.org/abs/2406.01163
A major challenge in deploying reinforcement learning in online tasks is ensuring that safety is maintained throughout the learning process. In this work, we propose CERL, a new method for solving constrained Markov decision processes while keeping t
Externí odkaz:
http://arxiv.org/abs/2405.05890