Results 11 to 20 of about 1,711,171 (86)
Potentially H-bigraphic sequences [PDF]
Discussiones Mathematicae Graph Theory, 2009 We extend the notion of a potentially H-graphic sequence as follows. Let A and B be nonnegative integer sequences. The sequence pair S = (A,B) is said to be bigraphic if there is some bipartite graph G = (X ∪ Y,E) such that A and B are the degrees of the
Ferrara, Michael +3 more
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Preservation of the High Quality Factor and Accelerating Gradient of Nb3Sn-coated Cavity During Pair Assembly [PDF]
Preservation of the High Quality Factor and Accelerating Gradient of Nb3Sn-coated Cavity During Pair Assembly, 2023 Two CEBAF 5-cell accelerator cavities have been coated with Nb3Sn film using the vapor diffusion technique. One cavity was coated in the Jefferson Lab Nb3Sn cavity coating system, and the other in the Fermilab Nb3Sn coating system.
G. Eremeev +9 more
semanticscholar +1 more source
Circle Loss: A Unified Perspective of Pair Similarity Optimization [PDF]
Computer Vision and Pattern Recognition, 2020 This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$.
Yifan Sun +6 more
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Matrix product states and projected entangled pair states: Concepts, symmetries, theorems [PDF]
Reviews of Modern Physics, 2020 The theory of entanglement provides a fundamentally new language for describing interactions and correlations in many body systems. Its vocabulary consists of qubits and entangled pairs, and the syntax is provided by tensor networks. We review how matrix
I. Cirac +3 more
semanticscholar +1 more source
Byte Pair Encoding is Suboptimal for Language Model Pretraining [PDF]
Findings, 2020 The success of pretrained transformer language models (LMs) in natural language processing has led to a wide range of pretraining setups. In particular, these models employ a variety of subword tokenization methods, most notably byte-pair encoding (BPE) (
Kaj Bostrom, Greg Durrett
semanticscholar +1 more source
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning [PDF]
Computer Vision and Pattern Recognition, 2019 A family of loss functions built on pair-based computation have been proposed in the literature which provide a myriad of solutions for deep metric learning.
Xun Wang +4 more
semanticscholar +1 more source
The Physics of Pair-Density Waves: Cuprate Superconductors and Beyond [PDF]
Annual Review of Condensed Matter Physics, 2019 We review the physics of pair-density wave (PDW) superconductors. We begin with a macroscopic description that emphasizes order induced by PDW states, such as charge-density wave, and discuss related vestigial states that emerge as a consequence of ...
D. Agterberg +9 more
semanticscholar +1 more source
Bigraphical models for protein and membrane interactions [PDF]
, 2009 We present a bigraphical framework suited for modeling biological systems both at protein level and at membrane level. We characterize formally bigraphs corresponding to biologically meaningful systems, and bigraphic rewriting rules representing ...
Davide Grohmann +3 more
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Distributed execution of bigraphical reactive systems [PDF]
, 2015 The bigraph embedding problem is crucial for many results and tools about bigraphs and bigraphical reactive systems (BRS). Current algorithms for computing bigraphical embeddings are centralized, i.e.
Mansutti, Alessio +2 more
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Deriving Barbed Bisimulations for Bigraphical Reactive Systems [PDF]
, 2009 We study the definition of a general abstract notion of barbed bisimilarity for reactive systems on bigraphs. More precisely, given a bigraphical reactive system, we define the corresponding barbs from the contextual labels given by the IPO construction,
Grohmann, Davide, Miculan, Marino
core +2 more sources