Applications of Deep Learning to physics workflows

Kavli Affiliate: George Ricker | First 5 Authors: Manan Agarwal, Jay Alameda, Jeroen Audenaert, Will Benoit, Damon Beveridge | Summary: Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing these datasets requires both sufficient compute power and efficient […]


Continue.. Applications of Deep Learning to physics workflows

Dark matter search with a strongly-coupled hybrid spin system

Kavli Affiliate: Jia Liu | First 5 Authors: Kai Wei, Zitong Xu, Yuxuan He, Xiaolin Ma, Xing Heng | Summary: Observational evidence suggests the existence of dark matter (DM), which comprises approximately $84.4%$ of matter in the universe. Recent advances in tabletop quantum sensor technology have enabled searches for nongravitational interactions of DM. Our experiment […]


Continue.. Dark matter search with a strongly-coupled hybrid spin system

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

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