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pro vyhledávání: '"Brubaker P"'
Autor:
Gürkan Gümüş
Publikováno v:
Turkish Journal of Diaspora Studies, Vol 3, Iss 2, Pp 270-272 (2023)
Rogers Brubaker’in kitabı, Fransa ve Almanya’da Vatandaşlık ve Ulus Bilinci, 1992 yılında Harvard Üniversitesi yayınlarından çıkmıştır. Yazar, Kaliforniya Üniversitesi, Los Angeles’de seçkin bir sosyoloji profesörüdür. Adı ge
Externí odkaz:
https://doaj.org/article/a3479620390a4a2a9f47d01d34e46a76
Autor:
Goli, Lily, Sabour, Sara, Matthews, Mark, Brubaker, Marcus, Lagun, Dmitry, Jacobson, Alec, Fleet, David J., Saxena, Saurabh, Tagliasacchi, Andrea
There has been extensive progress in the reconstruction and generation of 4D scenes from monocular casually-captured video. While these tasks rely heavily on known camera poses, the problem of finding such poses using structure-from-motion (SfM) ofte
Externí odkaz:
http://arxiv.org/abs/2411.18650
Autor:
Rosenberg, Gili, Brubaker, J. Kyle, Schuetz, Martin J. A., Zhu, Elton Yechao, Kadıoğlu, Serdar, Borujeni, Sima E., Katzgraber, Helmut G.
Pruning neural networks, which involves removing a fraction of their weights, can often maintain high accuracy while significantly reducing model complexity, at least up to a certain limit. We present a neural network pruning technique that builds up
Externí odkaz:
http://arxiv.org/abs/2411.17796
Autor:
Tian, Yuanyuan, Li, Wenwen, Hu, Lei, Chen, Xiao, Brook, Michael, Brubaker, Michael, Zhang, Fan, Liljedahl, Anna K.
Retrieval and recommendation are two essential tasks in modern search tools. This paper introduces a novel retrieval-reranking framework leveraging Large Language Models (LLMs) to enhance the spatiotemporal and semantic associated mining and recommen
Externí odkaz:
http://arxiv.org/abs/2411.12880
Autor:
Chaves, Antonio A., Resende, Mauricio G. C., Schuetz, Martin J. A., Brubaker, J. Kyle, Katzgraber, Helmut G., de Arruda, Edilson F., Silva, Ricardo M. A.
This paper presents the Random-Key Optimizer (RKO), a versatile and efficient stochastic local search method tailored for combinatorial optimization problems. Using the random-key concept, RKO encodes solutions as vectors of random keys that are subs
Externí odkaz:
http://arxiv.org/abs/2411.04293
Autor:
Brubaker, Ben, Dasher, A. Suki, Hu, Michael, Jain, Nupur, Li, Yifan, Lin, Yi, Mihaila, Maria, Tran, Van, Ünel, I. Deniz
We use algebraic methods in statistical mechanics to represent a multi-parameter class of polynomials in severable variables as partition functions of a new family of solvable lattice models. The class of polynomials, defined by A.N. Kirillov, is der
Externí odkaz:
http://arxiv.org/abs/2410.07960
Publikováno v:
Catholic Library World; Aug2024, Vol. 95 Issue 1, p7-7, 1/2p
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