Constraining the major merger history of $z sim 3-9$ galaxies using JADES: dominant in-situ star formation

Posted by dbos Cambridge

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 […]


Continue.. Constraining the major merger history of $z sim 3-9$ galaxies using JADES: dominant in-situ star formation

Harmonic Loss Trains Interpretable AI Models

Posted by dbos MIT

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 […]


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Two-particle quantum interference in a nonlinear optical medium: a witness of timelike indistinguishability

Posted by dbos Peking

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 […]


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Learning Fused State Representations for Control from Multi-View Observations

Posted by dbos Peking

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 […]


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Learning Fused State Representations for Control from Multi-View Observations

Posted by dbos Peking

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 […]


Continue.. Learning Fused State Representations for Control from Multi-View Observations

Learning Fused State Representations for Control from Multi-View Observations

Posted by dbos Peking

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 […]


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A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes

Posted by dbos Peking

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 […]


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Language Models Use Trigonometry to Do Addition

Posted by dbos MIT

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 […]


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Cosmological super-resolution of the 21-cm signal

Posted by dbos Cambridge

Kavli Affiliate: George Efstathiou | First 5 Authors: Simon Pochinda, Jiten Dhandha, Anastasia Fialkov, Eloy de Lera Acedo, | Summary: In this study, we train score-based diffusion models to super-resolve gigaparsec-scale cosmological simulations of the 21-cm signal. We examine the impact of network and training dataset size on model performance, demonstrating that a single simulation […]


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Spectral Sufficient Conditions for Graph Factors

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Fengyun Ren, Shumin Zhang, Ke Wang, , | Summary: The ${K_{1,1}, K_{1,2},C_m: mgeq3}$-factor of a graph is a spanning subgraph whose each component is an element of ${K_{1,1}, K_{1,2},C_m: mgeq3}$. In this paper, through the graph spectral methods, we establish the lower bound of the signless Laplacian […]


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