Zobrazeno 1 - 10
of 103 306
pro vyhledávání: '"A, Usman"'
Transformers have demonstrated remarkable in-context learning capabilities across various domains, including statistical learning tasks. While previous work has shown that transformers can implement common learning algorithms, the adversarial robustn
Externí odkaz:
http://arxiv.org/abs/2411.05189
Zero-shot coordination (ZSC) is a popular setting for studying the ability of reinforcement learning (RL) agents to coordinate with novel partners. Prior ZSC formulations assume the $\textit{problem setting}$ is common knowledge: each agent knows the
Externí odkaz:
http://arxiv.org/abs/2411.04976
This paper reports on the theoretical investigation of charged Higgs bosons and their coupling to fermions within the Two Higgs Doublet Model (THDM). The study focuses on the discovery potential of charged Higgs bosons predicted in Types III and IV a
Externí odkaz:
http://arxiv.org/abs/2411.04652
The realization of fault-tolerant quantum computers hinges on effective quantum error correction protocols, whose performance significantly relies on the nature of the underlying noise. In this work, we directly study the structure of non-Markovian c
Externí odkaz:
http://arxiv.org/abs/2410.23779
The rare three body decay of a Higgs boson to a lepton-anti lepton pair and a photon has begun to attract attention, after the first evidence for the $H\to Z\gamma$ at CMS and ATLAS, which is a sub process of $H \to \ell^+ \ell^- \gamma$ . To investi
Externí odkaz:
http://arxiv.org/abs/2410.23685
Autor:
Atzberger, Kaia R., Usman, Sam A., Ji, Alexander P., Cullinane, Lara R., Erkal, Denis, Hansen, Terese T., Lewis, Geraint F., Li, Ting S., Limberg, Guilherme, Luna, Alice, Martell, Sarah L., McKenzie, Madeleine, Pace, Andrew B., Zucker, Daniel B.
Chemical abundances of stellar streams can be used to determine the nature of a stream's progenitor. Here we study the progenitor of the recently discovered Leiptr stellar stream, which was previously suggested to be a tidally disrupted halo globular
Externí odkaz:
http://arxiv.org/abs/2410.17312
Autor:
Akram, Usman, Vikalo, Haris
We investigate whether transformers can learn to track a random process when given observations of a related process and parameters of the dynamical system that relates them as context. More specifically, we consider a finite-dimensional state-space
Externí odkaz:
http://arxiv.org/abs/2410.16546
Autor:
Ali, Usman, Hussain, Iffat Fida
We define an independence system associated with simple graphs. We prove that the independence system is a matroid for certain families of graphs, including trees, with bases as minimal resolving sets. Consequently, the greedy algorithm on the matroi
Externí odkaz:
http://arxiv.org/abs/2410.15356
Autor:
Guo, Xingang, Keivan, Darioush, Syed, Usman, Qin, Lianhui, Zhang, Huan, Dullerud, Geir, Seiler, Peter, Hu, Bin
Control system design is a crucial aspect of modern engineering with far-reaching applications across diverse sectors including aerospace, automotive systems, power grids, and robotics. Despite advances made by Large Language Models (LLMs) in various
Externí odkaz:
http://arxiv.org/abs/2410.19811
Large Language Models (LLMs) are trained on massive amounts of data, enabling their application across diverse domains and tasks. Despite their remarkable performance, most LLMs are developed and evaluated primarily in English. Recently, a few multi-
Externí odkaz:
http://arxiv.org/abs/2410.13153