Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Steve Huntsman"'
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-23 (2022)
Abstract Path homology is a powerful method for attaching algebraic invariants to digraphs. While there have been growing theoretical developments on the algebro-topological framework surrounding path homology, bona fide applications to the study of
Externí odkaz:
https://doaj.org/article/eadaccda98354a7a90829840def2681a
Autor:
George Cybenko, Steve Huntsman
Publikováno v:
Applied Network Science, Vol 4, Iss 1, Pp 1-21 (2019)
Abstract Directed contact networks (DCNs) are temporal networks that are useful for analyzing and modeling phenomena in transportation, communications, epidemiology and social networking. Specific sequences of contacts can underlie higher-level behav
Externí odkaz:
https://doaj.org/article/b1d4bf9a118e4bf2a0f86cb1d08a50f0
Autor:
Steve Huntsman
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031272493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd406505fc6b93c93b96bf36b58c9ea
https://doi.org/10.1007/978-3-031-27250-9_27
https://doi.org/10.1007/978-3-031-27250-9_27
Autor:
Steve Huntsman
We outline a geometrical correspondence between capacity and effective free energy minima of discrete memoryless channels. This correspondence informs the behavior of a timescale that is important in effective statistical physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c7de033a6d6b027eda4f7a28a3532b8
http://arxiv.org/abs/2201.09081
http://arxiv.org/abs/2201.09081
Publikováno v:
Mathematics in Cyber Research ISBN: 9780429354649
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c764f5bfa10bd22940eab78ab096c590
https://doi.org/10.1201/9780429354649-4
https://doi.org/10.1201/9780429354649-4
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030653507
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
We present an algorithm to compute path homology for simple digraphs, and use it to topologically analyze various small digraphs en route to an analysis of complex temporal networks which exhibit such digraphs as underlying motifs. The digraphs analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4269b6da86594a786d3d3e51433b6ada
https://doi.org/10.1007/978-3-030-65351-4_51
https://doi.org/10.1007/978-3-030-65351-4_51
Autor:
Steve Huntsman
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030653507
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
Two prerequisites for robotic multiagent systems are mobility and communication. Fast multipole networks (FMNs) enable both ends within a unified framework. FMNs can be organized very efficiently in a distributed way from local information and are id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a79f7fa02d15c90158926a59d02adb64
https://doi.org/10.1007/978-3-030-65351-4_34
https://doi.org/10.1007/978-3-030-65351-4_34
Autor:
Steve Huntsman
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030779566
SPIGL
SPIGL
We formulate both Markov chain Monte Carlo (MCMC) sampling algorithms and basic statistical physics in terms of elementary symmetries. This perspective on sampling yields derivations of well-known MCMC algorithms and a new parallel algorithm that app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f97ca49586a4f2e77eb041c5c72934e
https://doi.org/10.1007/978-3-030-77957-3_20
https://doi.org/10.1007/978-3-030-77957-3_20
Autor:
Michael Robinson, Steve Huntsman
Publikováno v:
SP Workshops
We introduce a conceptual framework that associates syntax and semantics with vertical and horizontal directions in principal bundles and related constructions. This notion of geometry corresponds to a mechanism for performing goal-directed file tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97bbe546836500f369dcda667690520e
http://arxiv.org/abs/2001.04952
http://arxiv.org/abs/2001.04952
Publikováno v:
ICMLA
We provide a characterization of two types of directed homology for fully-connected, feedforward neural network architectures. These exact characterizations of the directed homology structure of a neural network architecture are the first of their ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a651509146b64446dd86c7a75bbea5a1
http://arxiv.org/abs/1910.07617
http://arxiv.org/abs/1910.07617