To detect strong nugget with an acoustic array

Kavli Affiliate: Renxin Xu | First 5 Authors: Haoyang Qi, Renxin Xu, , , | Summary: This article discusses strong nuggets (SNs) which means strong interaction condensed matter clusters with a mass of about $10^6,$g. They may originate from the early universe, supernova, pulsar merger event, and so on. Depending on the equation of state, […]


Continue.. To detect strong nugget with an acoustic array

Feature Statistics with Uncertainty Help Adversarial Robustness

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Xinlei Zhou, Rihao Li, Meng Hu, Wenhui Wu | Summary: Despite the remarkable success of deep neural networks (DNNs), the security threat of adversarial attacks poses a significant challenge to the reliability of DNNs. By introducing randomness into different parts of DNNs, stochastic methods can […]


Continue.. Feature Statistics with Uncertainty Help Adversarial Robustness

Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Chao Li, Taolei Wang, Jinyang Guo, Hanzhang Yang | Summary: The growing scale of data requires efficient memory subsystems with large memory capacity and high memory performance. Disaggregated architecture has become a promising solution for today’s cloud and edge computing for its scalability and elasticity. […]


Continue.. Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters

Optimizing Safe and Aligned Language Generation: A Multi-Objective GRPO Approach

Kavli Affiliate: Zhuo Li | First 5 Authors: Xuying Li, Zhuo Li, Yuji Kosuga, Victor Bian, | Summary: Aligning large language models (LLMs) with human values and safety constraints is challenging, especially when objectives like helpfulness, truthfulness, and avoidance of harm conflict. Reinforcement Learning from Human Feedback (RLHF) has achieved notable success in steering models, […]


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ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing

Kavli Affiliate: Jing Wang | First 5 Authors: Tianwen Zhou, Jing Wang, Songtao Wu, Kuanhong Xu, | Summary: Recent approaches using large-scale pretrained diffusion models for image dehazing improve perceptual quality but often suffer from hallucination issues, producing unfaithful dehazed image to the original one. To mitigate this, we propose ProDehaze, a framework that employs […]


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Subaru Hyper-Supreme Cam observations of IC 1396: Source catalogue, member population, and sub-clusters of the complex

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Swagat R Das, Saumya Gupta, Jessy Jose, Manash Samal, Gregory J. Herczeg | Summary: To identify member populations of IC 1396, we employ the random forest (RF) classifier of machine learning technique. Random forest classifier is an ensemble of individual decision trees suitable for large, high-dimensional […]


Continue.. Subaru Hyper-Supreme Cam observations of IC 1396: Source catalogue, member population, and sub-clusters of the complex

Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Kavli Affiliate: Feng Yuan | First 5 Authors: Paul Caucal, Marcos Guerrero Morales, Edmond Iancu, Farid Salazar, Feng Yuan | Summary: Within the Colour Glass Condensate effective theory, we demonstrate that back-to-back dijet correlations in dilute-dense collisions involving a small-$x$ quark from the nuclear target can be factorised in terms of universal transverse momentum dependent […]


Continue.. Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Kavli Affiliate: Feng Yuan | First 5 Authors: Paul Caucal, Marcos Guerrero Morales, Edmond Iancu, Farid Salazar, Feng Yuan | Summary: Within the Colour Glass Condensate effective theory, we demonstrate that back-to-back dijet correlations in dilute-dense collisions involving a small-$x$ quark from the nuclear target can be factorised in terms of universal transverse momentum dependent […]


Continue.. Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$