Zobrazeno 1 - 10
of 15 261
pro vyhledávání: '"Kota P"'
Silicon Photonics-based AI Accelerators (SPAAs) have been considered as promising AI accelerators achieving high energy efficiency and low latency. While many researchers focus on improving SPAAs' energy efficiency and latency, their physical securit
Externí odkaz:
http://arxiv.org/abs/2411.14741
We examine the vacuum state and its corresponding renormalized stress-energy tensor (RSET) in static horizonless regular spacetime in both two- and four-dimensions. Using the local field formulation of the anomaly-induced effective action, we show th
Externí odkaz:
http://arxiv.org/abs/2411.12617
We have investigated terahertz (THz) nonlinear responses in a multi-gap superconductor, MgB$_2$, using THz two-dimensional coherent spectroscopy (THz 2DCS). With broad-band THz drives, we identified a well-defined nonlinear response near the lower su
Externí odkaz:
http://arxiv.org/abs/2411.10852
The domain adaptation of language models, including large language models (LLMs), has become increasingly important as the use of such models continues to expand. This study demonstrates the effectiveness of Composition to Augment Language Models (CA
Externí odkaz:
http://arxiv.org/abs/2411.09249
This paper proposes a foundation model called "CLaSP" that can search time series signals using natural language that describes the characteristics of the signals as queries. Previous efforts to represent time series signal data in natural language h
Externí odkaz:
http://arxiv.org/abs/2411.08397
Machine Learning and data mining techniques (i.e. supervised and unsupervised techniques) are used across domains to detect user safety violations. Examples include classifiers used to detect whether an email is spam or a web-page is requesting bank
Externí odkaz:
http://arxiv.org/abs/2411.06606
Autor:
Chandrasegaran, Keshigeyan, Gupta, Agrim, Hadzic, Lea M., Kota, Taran, He, Jimming, Eyzaguirre, Cristóbal, Durante, Zane, Li, Manling, Wu, Jiajun, Fei-Fei, Li
We present HourVideo, a benchmark dataset for hour-long video-language understanding. Our dataset consists of a novel task suite comprising summarization, perception (recall, tracking), visual reasoning (spatial, temporal, predictive, causal, counter
Externí odkaz:
http://arxiv.org/abs/2411.04998
This paper proposes a framework of explaining anomalous machine sounds in the context of anomalous sound detection~(ASD). While ASD has been extensively explored, identifying how anomalous sounds differ from normal sounds is also beneficial for machi
Externí odkaz:
http://arxiv.org/abs/2410.22033
Autor:
Fang, Shengjie, Imamura, Kumpei, Mizukami, Yuta, Namba, Ryuichi, Ishihara, Kota, Hashimoto, Kenichiro, Shibauchi, Takasada
Kitaev quantum spin liquids (KSLs) in layered honeycomb magnets are known to host Majorana quasiparticles, whose excitations depend strongly on the direction of the applied magnetic field. In the high-field phase of $\alpha$-RuCl$_3$, specific heat m
Externí odkaz:
http://arxiv.org/abs/2410.18449
Forecasting rail congestion is crucial for efficient mobility in transport systems. We present rail congestion forecasting using reports from passengers collected through a transit application. Although reports from passengers have received attention
Externí odkaz:
http://arxiv.org/abs/2410.17510