Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Kavli Affiliate: Marcela Carena | First 5 Authors: Ernesto Arganda, Marcela Carena, Martín de los Rios, Andres D. Perez, Duncan Rocha | 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 […]


Continue.. Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

Kavli Affiliate: Marcela Carena | First 5 Authors: Ernesto Arganda, Marcela Carena, Martín de los Rios, Andres D. Perez, Duncan Rocha | 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 […]


Continue.. Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC

The Affleck-Dine Curvaton

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Aurora Ireland, Gordan Krnjaic, Takuya Okawa, , | Summary: The Standard Model of particle physics does not explain the origin of the universe’s baryon asymmetry or its primordial fluctuations. The Affleck-Dine mechanism is a well-motivated scenario for generating the baryon asymmetry through the post-inflationary dynamics of a […]


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ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

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 […]


Continue.. ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

Physical Space Proof of Bilinear Estimates and Applications to Nonlinear Dispersive Equations

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 […]


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Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

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 […]


Continue.. Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

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., […]


Continue.. Connection between Non-Axisymmetric Structures and Neutral Gas Distribution in Disk Galaxies

Towards Better Performance in Incomplete LDL: Addressing Data Imbalance

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 […]


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DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

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 […]


Continue.. DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

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 […]


Continue.. DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation