Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang | Summary: Imitation learning has achieved great success in many sequential decision-making tasks, in which a neural agent is learned by imitating collected human demonstrations. However, existing algorithms typically require a large number of high-quality demonstrations that […]
Kavli Affiliate: Debora Sijacki | First 5 Authors: Rosie Y. Talbot, Debora Sijacki, Martin A. Bourne, , | Summary: In this work, we use hydrodynamical simulations to explore the effects of kinetic AGN jet feedback on the progression and outcome of the major merger of two isolated, gas-rich galaxies. We present simulations that use the […]
Kavli Affiliate: Debora Sijacki | First 5 Authors: Rosie Y. Talbot, Debora Sijacki, Martin A. Bourne, , | Summary: In this work, we use hydrodynamical simulations to explore the effects of kinetic AGN jet feedback on the progression and outcome of the major merger of two isolated, gas-rich galaxies. We present simulations that use the […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]
Kavli Affiliate: Kristofer Bouchard | Authors: Jiali Lu, Sumithra Surendralal, Kristofer E Bouchard and Dezhe Z. Jin | Summary: Generative models are widely used in modeling sequences from language to birdsong. Here we show that a statistical test designed to guard against overgeneralization of a model in generating sequences can be used to infer minimal […]
Kavli Affiliate: Ke Wang | First 5 Authors: Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian | Summary: Tool-augmented large language models (LLMs) have achieved remarkable progress in tackling a broad range of tasks. However, existing methods are mainly restricted to specifically designed tools and fail to fulfill complex instructions, having great limitations […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao | Summary: Quantum computing has emerged as a promising domain for the machine learning (ML) area, offering significant computational advantages over classical counterparts. With the growing interest in quantum machine learning (QML), ensuring the correctness and robustness […]
Kavli Affiliate: Risa H. Wechsler | First 5 Authors: ChangHoon Hahn, Jessica Nicole Aguilar, Shadab Alam, Steven Ahlen, David Brooks | Summary: We present the probabilistic stellar mass function (pSMF) of galaxies in the DESI Bright Galaxy Survey (BGS), observed during the One-Percent Survey. The One-Percent Survey was one of DESI’s survey validation programs conducted […]
Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Sihan Yuan, Hanyu Zhang, Ashley J. Ross, Jamie Donald-McCann, Boryana Hadzhiyska | Summary: We present the first comprehensive Halo Occupation Distribution (HOD) analysis of the DESI One-Percent survey Luminous Red Galaxy (LRG) and Quasi-Stellar Object (QSO) samples. We constrain the HOD of each sample and test […]