Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Xiao Cao, Yan-Mei Chen, Yong Shi, Junfeng Wang, Zhi-Jie Zhou | Summary: Dual active galactic nuclei (AGNs) with comparable masses are commonly witnessed among the major merged galaxies with interaction remnants. Considering almost every massive galaxy is associated with multiple dwarf satellites around it, minor mergers […]
Kavli Affiliate: Roberto Maiolino | First 5 Authors: Dávid Puskás, Sandro Tacchella, Charlotte Simmonds, Kevin Hainline, Francesco D’Eugenio | Summary: We present a comprehensive analysis of galaxy close-pair fractions and major merger rates to evaluate the importance of mergers in the hierarchical growth of galaxies over cosmic time. This study focuses on the previously poorly […]
Kavli Affiliate: Max Tegmark | First 5 Authors: David D. Baek, Ziming Liu, Riya Tyagi, Max Tegmark, | Summary: In this paper, we introduce **harmonic loss** as an alternative to the standard cross-entropy loss for training neural networks and large language models (LLMs). Harmonic loss enables improved interpretability and faster convergence, owing to its scale […]
Kavli Affiliate: Jing Wang | First 5 Authors: Chao Chen, Shu-Tian Xue, Yu-Peng Shi, Jing Wang, Zi-Mo Cheng | Summary: The Hong-Ou-Mandel effect is a paradigmatic quantum phenomenon demonstrating the interference of two indistinguishable photons that are linearly coupled at a 50:50 beam splitter. Here, we transpose such a two-particle quantum interference effect to the […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Li Xin Li | First 5 Authors: Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche | Summary: Multi-View Reinforcement Learning (MVRL) seeks to provide agents with multi-view observations, enabling them to perceive environment with greater effectiveness and precision. Recent advancements in MVRL focus on extracting latent representations from multiview observations and […]
Kavli Affiliate: Lijing Shao | First 5 Authors: Yiming Dong, Ziming Wang, Hai-Tian Wang, Junjie Zhao, Lijing Shao | Summary: Gravitational-wave (GW) ringdown signals from black holes (BHs) encode crucial information about the gravitational dynamics in the strong-field regime, which offers unique insights into BH properties. In the future, the improving sensitivity of GW detectors […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Max Tegmark, , , | Summary: Mathematical reasoning is an increasingly important indicator of large language model (LLM) capabilities, yet we lack understanding of how LLMs process even simple mathematical tasks. To address this, we reverse engineer how three mid-sized LLMs compute addition. We first […]