Kavli Affiliate: Kathleen Cullen | Authors: Kazuya Ono, Amandine Jarysta, Natasha Hughes, Alma Jukic, Vanessa H.H. Chang, Michael R Deans, Ruth Anne Eatock, Kathleen E Cullen, Katie S Kindt and Basile Tarchini | Summary: Otolith organs in the inner ear and neuromasts in the fish lateral-line harbor two populations of hair cells oriented to detect […]
Kavli Affiliate: Masahiro Takada | First 5 Authors: Ryo Terasawa, Xiangchong Li, Masahiro Takada, Takahiro Nishimichi, Satoshi Tanaka | Summary: The baryonic feedback effect is considered as a possible solution to the so-called $S_8$ tension indicated in cosmic shear cosmology. The baryonic effect is more significant on smaller scales, and affects the cosmic shear two-point […]
Kavli Affiliate: Yuji Tachikawa | First 5 Authors: Masaki Okada, Yuji Tachikawa, , , | Summary: Non-invertible symmetries of quantum field theories and many-body systems generalize the concept of symmetries by allowing non-invertible operations in addition to more ordinary invertible ones described by groups. The aim of this paper is to point out that these […]
Kavli Affiliate: Yuji Tachikawa | First 5 Authors: Masaki Okada, Yuji Tachikawa, , , | Summary: Non-invertible symmetries of quantum field theories and many-body systems generalize the concept of symmetries by allowing non-invertible operations in addition to more ordinary invertible ones described by groups. The aim of this paper is to point out that these […]
Kavli Affiliate: Ke Wang | First 5 Authors: Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Class-incremental learning (CIL) aims to enable models to continuously learn new classes while overcoming catastrophic forgetting. The introduction of pre-trained models has brought new tuning paradigms to CIL. In this paper, we revisit different parameter-efficient […]
Kavli Affiliate: Ke Wang | First 5 Authors: Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu | Summary: Open-source pre-trained Large Language Models (LLMs) exhibit strong language understanding and generation capabilities, making them highly successful in a variety of tasks. However, when used as agents for dealing with complex problems in the real […]