Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Turbulence Supported Massive Star Envelopes

Kavli Affiliate: Lars Bildsten | First 5 Authors: William Schultz, Lars Bildsten, Yan-Fei Jiang, , | Summary: The outer envelopes of massive ($Mgtrsim10,M_{odot}$) stars exhibit large increases in opacities from forests of lines and ionization transitions (particularly from iron and helium) that trigger near-surface convection zones. One-dimensional models predict density inversions and supersonic motions that […]


Continue.. Turbulence Supported Massive Star Envelopes

Turbulence Supported Massive Star Envelopes

Kavli Affiliate: Lars Bildsten | First 5 Authors: William Schultz, Lars Bildsten, Yan-Fei Jiang, , | Summary: The outer envelopes of massive ($Mgtrsim10,M_{odot}$) stars exhibit large increases in opacities from forests of lines and ionization transitions (particularly from iron and helium) that trigger near-surface convection zones. One-dimensional models predict density inversions and supersonic motions that […]


Continue.. Turbulence Supported Massive Star Envelopes

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

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 […]


Continue.. Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations

Simulations of spin-driven AGN jets in gas-rich galaxy mergers

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 […]


Continue.. Simulations of spin-driven AGN jets in gas-rich galaxy mergers

Simulations of spin-driven AGN jets in gas-rich galaxy mergers

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 […]


Continue.. Simulations of spin-driven AGN jets in gas-rich galaxy mergers

Problem specific classical optimization of Hamiltonian simulation

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 […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

Problem specific classical optimization of Hamiltonian simulation

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 […]


Continue.. Problem specific classical optimization of Hamiltonian simulation

Generative models inferred using statistical tests reveal context-dependent syllable transitions in Bengalese finch songs

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 […]


Continue.. Generative models inferred using statistical tests reveal context-dependent syllable transitions in Bengalese finch songs

RestGPT: Connecting Large Language Models with Real-World RESTful APIs

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 […]


Continue.. RestGPT: Connecting Large Language Models with Real-World RESTful APIs