Kavli Affiliate: Michael McDonald | First 5 Authors: Catherine Cerny, Guillaume Mahler, Keren Sharon, Mathilde Jauzac, Gourav Khullar | Summary: We leverage JWST’s superb resolution to derive strong lensing mass maps of 14 clusters, spanning a redshift range of $zsim0.25 – 1.06$ and a mass range of $M_{500}sim2-12 times 10^{14}M_odot$, from the Strong LensIng and […]
Kavli Affiliate: Jing Wang | First 5 Authors: Tianwen Zhou, Jing Wang, Songtao Wu, Kuanhong Xu, | Summary: Recent approaches using large-scale pretrained diffusion models for image dehazing improve perceptual quality but often suffer from hallucination issues, producing unfaithful dehazed image to the original one. To mitigate this, we propose ProDehaze, a framework that employs […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yi Ching Chou, Long Chen, Hengzhi Wang, Feng Wang, Hao Fang | Summary: Low Earth Orbit (LEO) satellite networks, characterized by their high data throughput and low latency, have gained significant interest from both industry and academia. Routing data efficiently within these networks is essential for maintaining […]
Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: K. Kornoelje, L. E. Bleem, E. S. Rykoff, T. M. C. Abbott, P. A. R. Ade | Summary: We present a catalog of 500 galaxy cluster candidates in the SPT-Deep field: a 100 deg$^2$ field that combines data from the SPT-3G and SPTpol surveys to reach noise […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah, Eliska Greplova, | Summary: Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understanding how they encode physical information remains an open challenge. In this work, we […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Mengsong Wu, Tong Zhu, Han Han, Xiang Zhang, Wenbiao Shao | Summary: Tool learning can further broaden the usage scenarios of large language models (LLMs). However most of the existing methods either need to finetune that the model can only use tools seen in the training data, […]