Testing the Froggatt-Nielsen Mechanism with Lepton Flavor and Number Violating Processes

Kavli Affiliate: Gordan Krnjaic | Summary:The Froggatt-Nielsen (FN) mechanism offers an elegant explanation for the observed masses and mixings of Standard Model fermions. In this work, we systematically study FN models in the lepton sector, identifying a broad range of charge assignments ("textures") that naturally yield viable masses and mixings for various neutrino mass generation […]


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Online Video Understanding: A Comprehensive Benchmark and Memory-Augmented Method

Kavli Affiliate: Jing Wang | First 5 Authors: Zhenpeng Huang, Xinhao Li, Jiaqi Li, Jing Wang, Xiangyu Zeng | Summary: Multimodal Large Language Models (MLLMs) have shown significant progress in offline video understanding. However, applying these models to real-world scenarios, such as autonomous driving and human-computer interaction, presents unique challenges due to the need for […]


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Primordial Black Hole Formation from Power Spectrum with Finite-width

Kavli Affiliate: Misao Sasaki | Summary:Primordial black holes (PBHs) can form from gravitational collapse of large overdensities in the early Universe, giving rise to rich phenomena in astrophysics and cosmology. We develop a novel, general, and systematic method based on theory of density contrast peaks to calculate the abundance of PBHs for a broad power […]


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Primordial Black Hole Formation from Power Spectrum with Finite-width

Kavli Affiliate: Misao Sasaki | First 5 Authors: Shi Pi, Misao Sasaki, Volodymyr Takhistov, Jianing Wang, | Summary: Primordial Black Holes (PBHs) can form from gravitational collapse of large overdensities in the early Universe, giving rise to rich phenomena in astrophysics and cosmology. We develop a novel, general, and accurate method based on theory of […]


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Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Wei Chen, Yi Zhou, , , | Summary: In the realm of class-incremental learning (CIL), alleviating the catastrophic forgetting problem is a pivotal challenge. This paper discovers a counter-intuitive observation: by incorporating domain shift into CIL tasks, the forgetting rate is significantly reduced. Our comprehensive studies demonstrate […]


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