MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision

Kavli Affiliate: Jing Wang | First 5 Authors: Jiatao Chen, Tianming Xie, Xing Tang, Jing Wang, Wenjing Dong | Summary: In recent years, deep learning has significantly advanced the MIDI domain, solidifying music generation as a key application of artificial intelligence. However, existing research primarily focuses on Western music and encounters challenges in generating melodies […]


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The Formation of Milky Way “Bones”: Ubiquitous HI Narrow Self-Absorption Associated with CO Emission

Kavli Affiliate: Ke Wang | First 5 Authors: Shenglan Sun, Ke Wang, Xunchuan Liu, Fengwei Xu, | Summary: Long and skinny molecular filaments running along Galactic spiral arms are known as "bones", since they make up the skeleton of the Milky Way. However, their origin is still an open question. Here, we compare spectral images […]


Continue.. The Formation of Milky Way “Bones”: Ubiquitous HI Narrow Self-Absorption Associated with CO Emission

Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Jinpeng Hu, Xiang Wan, Anningzhe Gao | Summary: Large language models (LLMs) have shown success in generating high-quality responses. In order to achieve better alignment with LLMs with human preference, various works are proposed based on specific optimization process, which, however, is not […]


Continue.. Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs

Influence of planets on debris discs in star clusters — II. The impact of stellar density

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Kai Wu, M. B. N. Kouwenhoven, Francesco Flammini Dotti, Rainer Spurzem, | Summary: We present numerical simulations of planetary systems in star clusters with different initial stellar densities, to investigate the impact of the density on debris disc dynamics. We use LPS+ to combine N-body codes NBODY6++GPU […]


Continue.. Influence of planets on debris discs in star clusters — II. The impact of stellar density

Gravitational wave ringdown analysis using the $mathcal{F}$-statistic

Kavli Affiliate: Lijing Shao | First 5 Authors: Hai-Tian Wang, Garvin Yim, Xian Chen, Lijing Shao, | Summary: After the final stage of the merger of two black holes, the ringdown signal takes an important role on providing information about the gravitational dynamics in strong field. We introduce a novel time-domain (TD) approach, predicated on […]


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Broad-line Region of the Quasar PG 2130+099. II. Doubling the Size Over Four Years?

Kavli Affiliate: Luis C. Ho | First 5 Authors: Zhu-Heng Yao, Sen Yang, Wei-Jian Guo, Yong-Jie Chen, Yu-Yang Songsheng | Summary: Over the past three decades, multiple reverberation mapping (RM) campaigns conducted for the quasar PG 2130+099 have exhibited inconsistent findings with time delays ranging from $sim$10 to $sim$200 days. To achieve a comprehensive understanding […]


Continue.. Broad-line Region of the Quasar PG 2130+099. II. Doubling the Size Over Four Years?

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either fine-tune large language models (LLMs) or build large-scale time-series datasets to develop TSF foundation models. However, these methods […]


Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either repurpose large language models (LLMs) or build large-scale time series datasets to develop TSF foundation models for universal […]


Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either repurpose large language models (LLMs) or build large-scale time series datasets to develop TSF foundation models for universal […]


Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters