Kavli Affiliate: T. Higuchi | First 5 Authors: The Belle II Collaboration, I. Adachi, L. Aggarwal, H. Ahmed, J. K. Ahn | Summary: A series of data samples was collected with the Belle~II detector at the SuperKEKB collider from March 2019 to June 2022. We determine the integrated luminosities of these data samples using three […]
Kavli Affiliate: Huawei Zhang | First 5 Authors: Yang Huang, Qikang Feng, Tigran Khachaturyants, Huawei Zhang, Jifeng Liu | Summary: The shape of the dark matter (DM) halo is key to understanding the hierarchical formation of the Galaxy. Despite extensive efforts in recent decades, however, its shape remains a matter of debate, with suggestions ranging […]
Kavli Affiliate: Katrin Heitmann | First 5 Authors: Isabele Souza Vitório, Michael Beuhlmann, Eve Kovacs, Patricia Larsen, Nicholas Frontiere | Summary: Halo core tracking is a novel concept designed to efficiently follow halo substructure in large simulations. We have recently developed this concept in gravity-only simulations to investigate the galaxy-halo connection in the context of […]
Kavli Affiliate: Katrin Heitmann | First 5 Authors: Isabele Souza Vitório, Michael Buehlmann, Eve Kovacs, Patricia Larsen, Nicholas Frontiere | Summary: Halo core tracking is a novel concept designed to efficiently follow halo substructure in large simulations. We have recently developed this concept in gravity-only simulations to investigate the galaxy-halo connection in the context of […]
Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]
Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Fast and accurate approximations of gas cooling and heating functions are needed for hydrodynamic galaxy simulations. We use machine learning to analyze atomic gas cooling and heating functions in the presence of a generalized incident local […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Vedang Lad, Wes Gurnee, Max Tegmark, , | Summary: We demonstrate and investigate the remarkable robustness of Large Language Models by deleting and swapping adjacent layers. We find that deleting and swapping interventions retain 72-95% of the original model’s prediction accuracy without fine-tuning, whereas models with more […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Shezheng Song, Shasha Li, Jie Yu, Shan Zhao, Xiaopeng Li | Summary: Our study delves into Multimodal Entity Linking, aligning the mention in multimodal information with entities in knowledge base. Existing methods are still facing challenges like ambiguous entity representations and limited image information utilization. Thus, we […]
Kavli Affiliate: Ke Wang | First 5 Authors: Binghong Liu, Ziqi Zhao, Shupan Li, Ke Wang, | Summary: Deep learning has become a crucial technology for making breakthroughs in many fields. Nevertheless, it still faces two important challenges in theoretical and applied aspects. The first lies in the shortcomings of gradient descent based learning schemes […]
Kavli Affiliate: T. Higuchi | First 5 Authors: H. Aihara, A. Aloisio, D. P. Auguste, M. Aversano, M. Babeluk | Summary: We describe the planned near-term and potential longer-term upgrades of the Belle II detector at the SuperKEKB electron-positron collider operating at the KEK laboratory in Tsukuba, Japan. These upgrades will allow increasingly sensitive searches […]