Kavli Affiliate: Dan Luo | First 5 Authors: Dan Luo, Chengyuan Ma, Weiqin Li, Jun Wang, Wei Chen | Summary: With the advancement of speech synthesis technology, users have higher expectations for the naturalness and expressiveness of synthesized speech. But previous research ignores the importance of prompt selection. This study proposes a text-to-speech (TTS) framework […]
Kavli Affiliate: Lijing Shao | Summary:We put into test the idea of replacing dark energy by a vector field against the cosmic microwave background (CMB) observation using the simplest vector-tensor theory, where a massive vector field couples to the Ricci scalar and the Ricci tensor quadratically. First, a remarkable Friedmann-Lemaître-Robertson-Walker (FLRW) metric solution that is […]
Kavli Affiliate: Anthony Challinor | Summary:The abundance of galaxy clusters as a function of mass and redshift is a well-established and powerful cosmological probe. Cosmological analyses based on galaxy cluster number counts have traditionally relied on explicitly computed likelihoods, which are often challenging to develop with the required accuracy and expensive to evaluate. In this […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao | Summary: Time series classification (TSC) is an important task in time series analysis. Existing TSC methods mainly train on each single domain separately, suffering from a degradation in accuracy when the samples for training are insufficient […]
Kavli Affiliate: George Efstathiou | Summary:Observations of the Epoch of Reionization (EoR) have the potential to answer long-standing questions of astrophysical interest regarding the nature of the first luminous sources and their effects on the intergalactic medium (IGM). We present astrophysical constraints from a Neural Density Estimation-Accelerated Bayesian joint analysis of constraints deriving from Cosmic […]
Kavli Affiliate: Jing Wang | First 5 Authors: Wenji Fang, Wenji Fang, , , | Summary: The success of foundation AI has motivated the research of circuit foundation models, which are customized to assist the integrated circuit (IC) design process. However, existing pre-trained circuit foundation models are typically limited to standalone encoders for predictive tasks […]
Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Akatoki Noboriguchi, Kohei Ichikawa, Yoshiki Toba, Tom Dwelly, Kohei Inayoshi | Summary: Dust-obscured galaxies (DOGs) are considered to be in a co-evolution phase, with the associated active galactic nuclei (AGN) obscured by dust and gas. Although the DOGs are thought to harbor rapidly growing SMBHs, their X-ray […]
Kavli Affiliate: Jia Liu | First 5 Authors: Yuyang Zhang, Yuyang Zhang, , , | Summary: This paper addresses the problem of learning linear dynamical systems from noisy observations. In this setting, existing algorithms either yield biased parameter estimates or have large sample complexities. We resolve these issues by adapting the instrumental variable method and […]
Kavli Affiliate: Jia Liu | First 5 Authors: Yuyang Zhang, Xinhe Zhang, Jia Liu, Na Li, | Summary: In this paper, we focus on learning linear dynamical systems under noisy observations. In this setting, existing algorithms either yield biased parameter estimates, or suffer from large sample complexities. To address these issues, we adapt the instrumental […]
Kavli Affiliate: Arnold R. Kriegstein | Authors: Tanzila Mukhtar, Clara-Vita Siebert, Yuejun Wang, Mark-Phillip Pebworth, Matthew L. White, Tianzhi Wu, Tan Ieng Huang, Guolong Zuo, Jayden Ross, Jennifer Baltazar, Varun Upadhyay, Merut Shankar, Li Zhou, Isabel Lombardi-Coronel, Ishaan Mandala, Manal A. Adam, Shaohui Wang, Qiuli Bi, Marco F.M. Hoekman, Jingjing Li and Arnold Kriegstein | […]