Zobrazeno 1 - 10
of 58 418
pro vyhledávání: '"A., Shafiee"'
Autor:
Huang, Sheng-Hsuan, Dirmeier, Thomas, Shafiee, Golnoush, Laiho, Kaisa, Strekalov, Dmitry V., Aiello, Andrea, Leuchs, Gerd, Marquardt, Christoph
Hong-Ou-Mandel interference plays a vital role in many quantum optical applications where indistinguishability of two photons is important. Such photon pairs are commonly generated as the signal and idler in the frequency and polarization-degenerate
Externí odkaz:
http://arxiv.org/abs/2412.15760
Autor:
Hesamolhokama, Mohsen, Shafiee, Amirahmad, Ahmaditeshnizi, Mohammadreza, Fazli, Mohammadamin, Habibi, Jafar
Ensuring software quality remains a critical challenge in complex and dynamic development environments, where software defects can result in significant operational and financial risks. This paper proposes an innovative framework for software defect
Externí odkaz:
http://arxiv.org/abs/2412.07927
Mesh quality assessment (MQA) models play a critical role in the design, optimization, and evaluation of mesh operation systems in a wide variety of applications. Current MQA models, whether model-based methods using topology-aware features or projec
Externí odkaz:
http://arxiv.org/abs/2412.01986
A standard model that arises in several applications in sequential decision making is partially observable Markov decision processes (POMDPs) where a decision-making agent interacts with an uncertain environment. A basic objective in such POMDPs is t
Externí odkaz:
http://arxiv.org/abs/2412.00941
The Lightning Network (LN) has emerged as a second-layer solution to Bitcoin's scalability challenges. The rise of Payment Channel Networks (PCNs) and their specific mechanisms incentivize individuals to join the network for profit-making opportuniti
Externí odkaz:
http://arxiv.org/abs/2411.17353
Autor:
Luboeinski, Jannik, Schmitt, Sebastian, Shafiee, Shirin, Hater, Thorsten, Bösch, Fabian, Tetzlaff, Christian
Arbor is a software library designed for efficient simulation of large-scale networks of biological neurons with detailed morphological structures. It combines customizable neuronal and synaptic mechanisms with high-performance computing, supporting
Externí odkaz:
http://arxiv.org/abs/2411.16445
We present a framework for learning a single policy capable of producing all quadruped gaits and transitions. The framework consists of a policy trained with deep reinforcement learning (DRL) to modulate the parameters of a system of abstract oscilla
Externí odkaz:
http://arxiv.org/abs/2411.04787
Distributionally robust optimization (DRO) studies decision problems under uncertainty where the probability distribution governing the uncertain problem parameters is itself uncertain. A key component of any DRO model is its ambiguity set, that is,
Externí odkaz:
http://arxiv.org/abs/2411.02549
Typical legged locomotion controllers are designed or trained offline. This is in contrast to many animals, which are able to locomote at birth, and rapidly improve their locomotion skills with few real-world interactions. Such motor control is possi
Externí odkaz:
http://arxiv.org/abs/2410.16417
We explore the fascinating world of Circumacenes, a unique family of organic molecules. Our research demonstrarates the calculation of essential topological indices, including the first and second-Zagreb indices, as well as related generalized indice
Externí odkaz:
http://arxiv.org/abs/2410.16313