Zobrazeno 1 - 10
of 2 545
pro vyhledávání: '"Conan, P"'
In this paper, we explore the quantization of K\"ahler manifolds, focusing on the relationship between deformation quantization and geometric quantization. We provide a classification of degree 1 formal quantizable functions in the Berezin-Toeplitz d
Externí odkaz:
http://arxiv.org/abs/2410.11311
Autor:
Chan, Ki Fung, Leung, Naichung Conan
3d mirror symmetry is a mysterious duality for certian pairs of hyperk\"ahler manifolds, or more generally complex symplectic manifolds/stacks. In this paper, we will describe its relationships with 2d mirror symmetry. This could be regarded as a 3d
Externí odkaz:
http://arxiv.org/abs/2410.03611
Autor:
Anbalagan, Aswin kumar, Cummings, Rebecca, Zhou, Chenyu, Mun, Junsik, Stanic, Vesna, Jordan-Sweet, Jean, Yao, Juntao, Kisslinger, Kim, Weiland, Conan, Nykypanchuk, Dmytro, Hulbert, Steven L., Li, Qiang, Zhu, Yimei, Liu, Mingzhao, Sushko, Peter V., Walter, Andrew L., Barbour, Andi M.
Despite constituting a smaller fraction of the qubits electromagnetic mode, surfaces and interfaces can exert significant influence as sources of high-loss tangents, which brings forward the need to reveal properties of these extended defects and ide
Externí odkaz:
http://arxiv.org/abs/2409.10780
This article introduces an innovative architecture designed to declaratively combine Large Language Models (LLMs) with shared histories, and triggers to identify the most appropriate LLM for a given task. Our approach is general and declarative, rely
Externí odkaz:
http://arxiv.org/abs/2409.13693
Autor:
Chan, Ki Fung, Leung, Naichung Conan
In the SYZ program, the mirror of $Y$ is the moduli space of Lagrangian branes in $Y$. When $Y$ is equipped with a Hamiltonian $G$-action, we prove that its mirror determines a canonical complex Lagrangian subvariety in the Coulomb branch of the 3d $
Externí odkaz:
http://arxiv.org/abs/2408.09479
The integration of Large Language Models (LLMs) like GPT-4o into robotic systems represents a significant advancement in embodied artificial intelligence. These models can process multi-modal prompts, enabling them to generate more context-aware resp
Externí odkaz:
http://arxiv.org/abs/2408.03515
The calibration of predictive distributions has been widely studied in deep learning, but the same cannot be said about the more specific epistemic uncertainty as produced by Deep Ensembles, Bayesian Deep Networks, or Evidential Deep Networks. Althou
Externí odkaz:
http://arxiv.org/abs/2407.12211
Autor:
Doukhan, David, Dodson, Lena, Conan, Manon, Pelloin, Valentin, Clamouse, Aurélien, Lepape, Mélina, Van Hille, Géraldine, Méadel, Cécile, Coulomb-Gully, Marlène
This study investigates the relationship between automatic information extraction descriptors and manual analyses to describe gender representation disparities in TV and Radio. Automatic descriptors, including speech time, facial categorization and s
Externí odkaz:
http://arxiv.org/abs/2406.10316
Autor:
Gillis, Conan
In 1971 C.F.\ Miller associated to every finitely presented group $G$ a free-by-free group $M(G)$ known as the Miller Machine, whose conjugacy problem is closely related to the conjugacy and word problems of $G$. We quantify this relationship, and lo
Externí odkaz:
http://arxiv.org/abs/2401.08869
In this paper, we study the Floer theory of equivariant Lagrangian correspondences and apply it to deduce a conjecture of Teleman, which finds the relation between the disc potential of an invariant Lagrangian submanifold and that of its quotient. A
Externí odkaz:
http://arxiv.org/abs/2312.13926