Zobrazeno 1 - 10
of 136 407
pro vyhledávání: '"A. Hosseini"'
Transformers have revolutionized Computer Vision (CV) and Natural Language Processing (NLP) through self-attention mechanisms. However, due to their complexity, their latent token representations are often difficult to interpret. We introduce a novel
Externí odkaz:
http://arxiv.org/abs/2411.12589
Reinforcement learning (RL) plays a major role in solving complex sequential decision-making tasks. Hierarchical and goal-conditioned RL are promising methods for dealing with two major problems in RL, namely sample inefficiency and difficulties in r
Externí odkaz:
http://arxiv.org/abs/2412.16687
Recent advancements in graph representation learning have shifted attention towards dynamic graphs, which exhibit evolving topologies and features over time. The increased use of such graphs creates a paramount need for generative models suitable for
Externí odkaz:
http://arxiv.org/abs/2412.15582
Autor:
Chagahi, Mehdi Hosseini, Piran, Md. Jalil, Delfan, Niloufar, Moshiri, Behzad, Parikhan, Jaber Hatam
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in or around the brain. If this condition is not diagnosed in a timely manner and appropriately treated, i
Externí odkaz:
http://arxiv.org/abs/2412.14869
We initiate the study of matching roommates and rooms wherein the preferences of agents over other agents and rooms are complementary and represented by Leontief utilities. In this setting, 2n agents must be paired up and assigned to n rooms. Each ag
Externí odkaz:
http://arxiv.org/abs/2412.13887
Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Here, we report a storage efficiency greater than 28% in a Tm$^{3+}$: YAG crystal in elevated temperatures and without compromising
Externí odkaz:
http://arxiv.org/abs/2412.12379
Large language models (LLMs) have shown superior capabilities in translating figurative language compared to neural machine translation (NMT) systems. However, the impact of different prompting methods and LLM-NMT combinations on idiom translation ha
Externí odkaz:
http://arxiv.org/abs/2412.09993
A novel method for tackling the problem of imbalanced data in medical image segmentation is proposed in this work. In balanced cross entropy (CE) loss, which is a type of weighted CE loss, the weight assigned to each class is the in-verse of the clas
Externí odkaz:
http://arxiv.org/abs/2412.06045
Efficient storage of telecom-band quantum optical information represents a crucial milestone for establishing distributed quantum optical networks. Erbium ions in crystalline hosts provide a promising platform for telecom quantum memories; however, t
Externí odkaz:
http://arxiv.org/abs/2412.05480
Autor:
Delfan, Niloufar, Moghadam, Pardis Ketabi, Khoshnevisan, Mohammad, Chagahi, Mehdi Hosseini, Hatami, Behzad, Asgharzadeh, Melika, Zali, Mohammadreza, Moshiri, Behzad, Moghaddam, Amin Momeni, Khalafi, Mohammad Amin, Dehnad, Khosrow
Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a global scale, posing a significant threat of progressing to more severe conditions like nonalcoholic steatohepatitis (NASH), liver fibrosis, cirrhosis, and h
Externí odkaz:
http://arxiv.org/abs/2412.04884