Results 31 to 40 of about 64,000 (305)
Journal of High Energy Physics, 2021 We consider, at the linearized level, the superspace formulation of lower-dimensional F-theory. In particular, we describe the embedding of 3D Type II super-gravity of the superstring, or 4D, N = 1 supergravity of M-theory, into the corresponding F ...
William D. Linch, Warren Siegel
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A Rigorous Theory of Conditional Mean Embeddings [PDF]
SIAM Journal on Mathematics of Data Science, 2020 Conditional mean embeddings (CMEs) have proven themselves to be a powerful tool in many machine learning applications. They allow the efficient conditioning of probability distributions within the corresponding reproducing kernel Hilbert spaces (RKHSs) by providing a linear-algebraic relation for the kernel mean embeddings of the respective joint and ...
Ilja Klebanov +2 more
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Learning Weight Signed Network Embedding with Graph Neural Networks
Data Science and Engineering, 2023 Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have achieved state-of-the-art performance in learning node representation.
Zekun Lu +4 more
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Embedding cosmology and gravity
European Physical Journal C: Particles and Fields, 2021 I start with a scenario where the universe is an abstract space $${\mathcal {M}}$$ M having d dimensions. There is a two dimensional surface embedded in it.
Abhishek Goswami
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Density Matrix Embedding Using Multiconfiguration Pair-Density Functional Theory
, 2023 We present a quantum embedding method for ground and excited states of extended systems that uses multiconfiguration pair-density functional theory (MC-PDFT) with densities provided by periodic density matrix embedding theory (pDMET).
Matthew , Hermes +2 more
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On embedding of partially commutative metabelian groups to matrix groups [PDF]
International Journal of Group Theory, 2018 The Magnus embedding of a free metabelian group induces the embedding of partially commutative metabelian group $S_Gamma$ in a group of matrices $M_Gamma$. Properties and the universal theory of the group $M_Gamma$ are studied.
E. I. Timoshenko
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Generalized Self-Energy Embedding Theory [PDF]
The Journal of Physical Chemistry Letters, 2017 Ab initio quantum chemistry calculations for systems with large active spaces are notoriously difficult and cannot be successfully tackled by standard methods. In this letter, we generalize a Green's function QM/QM embedding method called self-energy embedding theory (SEET) that has the potential to be successfully employed to treat large active spaces.
Tran Nguyen Lan, Dominika Zgid
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Quantum Theory is a Quasi-stochastic Process Theory [PDF]
Electronic Proceedings in Theoretical Computer Science, 2018 There is a long history of representing a quantum state using a quasi-probability distribution: a distribution allowing negative values. In this paper we extend such representations to deal with quantum channels. The result is a convex, strongly monoidal,
John van de Wetering
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Flexible boundary layer using exchange for embedding theories. I. Theory and implementation
, 2021 Embedding theory is a powerful computational chemistry approach to exploring the electronic structure and dynamics of complex systems, with QM/MM being the prime example.
Zhuofan, Shen, William, Glover
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Mokslas: Lietuvos Ateitis, 2013 The paper investigates the procedure for introduction of systems containing delay elements. Shortcomings and difficulties in the synthesis of regulators and precompensators of control systems with delays in output and control channel where determined ...
Aliaksandr Lapeta
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