Kavli Affiliate: Carlos E. M. Wagner | First 5 Authors: , , , , | Summary: The search for weakly interacting matter particles (WIMPs) is one of the main objectives of the High Luminosity Large Hadron Collider (HL-LHC). In this work we use Machine-Learning (ML) techniques to explore WIMP radiative decays into a Dark Matter […]
Kavli Affiliate: Carlos Wagner | Summary:The search for weakly interacting matter particles (WIMPs) is one of the main objectives of the High Luminosity Large Hadron Collider (HL-LHC). In this work we use Machine-Learning (ML) techniques to explore WIMP radiative decays into a Dark Matter (DM) candidate in a supersymmetric framework. The minimal supersymmetric WIMP sector […]
Kavli Affiliate: Ke Wang | First 5 Authors: Xiutian Zhao, Ke Wang, Wei Peng, , | Summary: Dialogue agents have been receiving increasing attention for years, and this trend has been further boosted by the recent progress of large language models (LLMs). Stance detection and dialogue summarization are two core tasks of dialogue agents in […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Li Tu, Yi Zhou, , , | Summary: We give a simpler proof for the local well-posedness of the modified Korteweg-de Vries equations and modified Benjamin-Ono equation in $H^{frac{1}{4}}(mathbb{R})$ and $H^{frac{1}{2}}(mathbb{R})$, respectively. The proof is based on the Strichartz estimate, dyadic decomposition and a bilinear estimate given […]
Kavli Affiliate: Luis C. Ho | First 5 Authors: Ze-Zhong Liang, Jing Wang, Hua Gao, Luis C. Ho, E. Athanassoula | Summary: Non-axisymmetric structures, such as bars and spiral arms, are known to concentrate molecular gas and star formation in galaxy centers, actively building up the pseudo-bulges. However, a direct link between the neutral (i.e., […]
Kavli Affiliate: Jing Wang | First 5 Authors: Ze-Zhong Liang, Jing Wang, Hua Gao, Luis C. Ho, E. Athanassoula | Summary: Non-axisymmetric structures, such as bars and spiral arms, are known to concentrate molecular gas and star formation in galaxy centers, actively building up the pseudo-bulges. However, a direct link between the neutral (i.e., molecular […]
Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng | Summary: Label Distribution Learning (LDL) is a novel machine learning paradigm that addresses the problem of label ambiguity and has found widespread applications. Obtaining complete label distributions in real-world scenarios is challenging, which has led to […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Guan Huang | Summary: Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang | Summary: Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang | Summary: Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving […]