Kavli Affiliate: Jia Liu | First 5 Authors: Jessica A. Cowell, David Alonso, Jia Liu, , | Summary: Marked power spectra provide a computationally efficient way to extract non-Gaussian information from the matter density field using the usual analysis tools developed for the power spectrum without the need for explicit calculation of higher-order correlators. In […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Yuan Bian, Min Du, Victor P. Debattista, Dylan Nelson, Mark A. Norris | Summary: Most galaxies follow well-defined scaling relations of metallicity and stellar mass; however, some outliers at the low mass end of the observed galaxy population exhibit unusually high metallicity for their mass. Understanding […]
Kavli Affiliate: Jiansheng Chen | First 5 Authors: Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang | Summary: Large Vision-Language Models (LVLMs) have demonstrated their powerful multimodal capabilities. However, they also face serious safety problems, as adversaries can induce robustness issues in LVLMs through the use of well-designed adversarial examples. Therefore, LVLMs are […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin | Summary: The global self-attention mechanism in diffusion transformers involves redundant computation due to the sparse and redundant nature of visual information, and the attention map of tokens within a spatial window shows significant similarity. To address […]
Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin | Summary: The global self-attention mechanism in diffusion transformers involves redundant computation due to the sparse and redundant nature of visual information, and the attention map of tokens within a spatial window shows significant similarity. To address […]
Kavli Affiliate: Jia Liu | First 5 Authors: Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness Shroff | Summary: Federated Learning (FL) has gained significant popularity due to its effectiveness in training machine learning models across diverse sites without requiring direct data sharing. While various algorithms along with their optimization analyses have shown that […]
Kavli Affiliate: Laura Schaefer | Summary:The recent JWST detections of carbon-bearing molecules in a habitable-zone sub-Neptune have opened a new era in the study of low-mass exoplanets. The sub-Neptune regime spans a wide diversity of planetary interiors and atmospheres not witnessed in the solar system, including mini-Neptunes, super-Earths, and water worlds. Recent works have investigated […]
Kavli Affiliate: Cosmin Deaconu | First 5 Authors: Rafael Alves Batista, Aurélien Benoit-Lévy, Teresa Bister, Martina Bohacova, Mauricio Bustamante | Summary: This is an index of the contributions by the Giant Radio Array for Neutrino Detection (GRAND) Collaboration to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024, University of […]
Kavli Affiliate: Huawei Zhang | Summary:Spatial audio signal enhancement aims to reduce interfering source contributions while preserving the desired sound field with its spatial cues. Existing methods generally rely on impractical assumptions (e.g. accurate estimations of impractical information) or have limited applicability. This paper presents a spherical harmonic (SH)-domain minimum variance distortionless response (MVDR)-based spatial […]