GWnext 2024: Meeting Summary

Kavli Affiliate: Xian Chen | First 5 Authors: Alejandro Torres-Orjuela, Veronica Vazquez-Aceves, Rui Xu, Jin-Hong Chen, Andrea Derdzinski | Summary: GWnext 2024 was a meeting held in the Kavli Institute for Astronomy and Astrophysics at Peking University in March $4^text{th} – 8^text{th}$, 2024. In the meeting researchers at different career stages — with a particular […]


Continue.. GWnext 2024: Meeting Summary

Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]


Continue.. Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Kavli Affiliate: Jing Wang | First 5 Authors: Yichen Hu, Jing Wang, Biao Lian, , | Summary: We study the probability distribution of the resistance, or equivalently the charge transmission, of a decoherent quantum Hall-superconductor edge, with the decoherence coming from metallic puddles along the edge. Such metallic puddles may originate from magnetic vortex cores […]


Continue.. Resistance Distribution of Decoherent Quantum Hall-Superconductor Edges

Survival of the Fittest Representation: A Case Study with Modular Addition

Kavli Affiliate: Max Tegmark | First 5 Authors: Xiaoman Delores Ding, Zifan Carl Guo, Eric J. Michaud, Ziming Liu, Max Tegmark | Summary: When a neural network can learn multiple distinct algorithms to solve a task, how does it "choose" between them during training? To approach this question, we take inspiration from ecology: when multiple […]


Continue.. Survival of the Fittest Representation: A Case Study with Modular Addition

Ultraheavy Ultrahigh-Energy Cosmic Rays

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: B. Theodore Zhang, Kohta Murase, Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi | Summary: We investigate the propagation of ultraheavy (UH) nuclei as ultrahigh-energy cosmic rays (UHECRs). We show that their energy loss lengths at $lesssim300$~EeV are significantly longer than those of protons and intermediate nuclei, and that […]


Continue.. Ultraheavy Ultrahigh-Energy Cosmic Rays

Ultraheavy Ultrahigh-Energy Cosmic Rays

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: B. Theodore Zhang, Kohta Murase, Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi | Summary: We investigate the propagation of ultraheavy (UH) nuclei as ultrahigh-energy cosmic rays (UHECRs). We show that their energy loss lengths at $lesssim300$~EeV are significantly longer than those of protons and intermediate-mass nuclei, and that […]


Continue.. Ultraheavy Ultrahigh-Energy Cosmic Rays

Ultraheavy Ultrahigh-Energy Cosmic Rays

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: B. Theodore Zhang, Kohta Murase, Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi | Summary: We investigate the propagation of ultraheavy (UH) nuclei as ultrahigh-energy cosmic rays (UHECRs). We show that their energy loss lengths at $lesssim300$~EeV are significantly longer than those of protons and intermediate-mass nuclei, and that […]


Continue.. Ultraheavy Ultrahigh-Energy Cosmic Rays

Inaccurate Label Distribution Learning with Dependency Noise

Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng, | Summary: In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels. We start by modeling […]


Continue.. Inaccurate Label Distribution Learning with Dependency Noise

M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]


Continue.. M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation

M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu | Summary: This paper presents M$^3$GPT, an advanced $textbf{M}$ultimodal, $textbf{M}$ultitask framework for $textbf{M}$otion comprehension and generation. M$^3$GPT operates on three fundamental principles. The first focuses on creating a unified representation space for various motion-relevant modalities. We employ […]


Continue.. M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation