Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Robert Ravier"'
Autor:
Ethan L. Fulwood, Shan Shan, Julia M. Winchester, Henry Kirveslahti, Robert Ravier, Shahar Kovalsky, Ingrid Daubechies, Doug M. Boyer
Publikováno v:
BMC Ecology and Evolution, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Lemurs once rivalled the diversity of rest of the primate order despite thier confinement to the island of Madagascar. We test the adaptive radiation model of Malagasy lemur diversity using a novel combination of phylogenetic comp
Externí odkaz:
https://doaj.org/article/f4284c890064465781470c36f80f2563
Autor:
Gregory Herschlag, Han Sung Kang, Justin Luo, Christy Vaughn Graves, Sachet Bangia, Robert Ravier, Jonathan C. Mattingly
Publikováno v:
Statistics and Public Policy, Vol 7, Iss 1, Pp 30-38 (2020)
By comparing a specific redistricting plan to an ensemble of plans, we evaluate whether the plan translates individual votes to election outcomes in an unbiased fashion. Explicitly, we evaluate if a given redistricting plan exhibits extreme statistic
Externí odkaz:
https://doaj.org/article/e16c28e300a94e748f01e5499b4ef0fd
Autor:
Robert Ravier, Denis Garagić, Jacob Peskoe, Travis Galoppo, James Tigue, Bradley J. Rhodes, Peter Zulch
Publikováno v:
2023 IEEE Aerospace Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a7780b51cbef8b24f6c81a0deef9d80
https://doi.org/10.1109/aero55745.2023.10115744
https://doi.org/10.1109/aero55745.2023.10115744
Publikováno v:
2022 IEEE Aerospace Conference (AERO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff78a0f436fac667a25e79dc6767578d
https://doi.org/10.1109/aero53065.2022.9843713
https://doi.org/10.1109/aero53065.2022.9843713
Autor:
Robert Ravier, Simon Sponberg, Vahid Tarokh, Silvia Ferrari, Marko Angjelichinoski, Joy Putney
Patterns of motor activity can be used to decode behavior state. Precise spike timing encoding is present in many motor systems, but is not frequently utilized to decode behavior or to examine how coordination is achieved across many motor units. Tes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed1296a18ea582379e760c75b1e7f7c5
https://doi.org/10.1101/2021.07.13.452211
https://doi.org/10.1101/2021.07.13.452211
Publikováno v:
ICASSP
The design of handcrafted neural networks requires a lot of time and resources. Recent techniques in Neural Architecture Search (NAS) have proven to be competitive or better than traditional handcrafted design, although they require domain knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24a759660d82cd31971318174e1a3114
https://doi.org/10.1109/icassp39728.2021.9414412
https://doi.org/10.1109/icassp39728.2021.9414412
Publikováno v:
DCC
In this paper, we propose a new structural technique for pruning deep neural networks with skip-connections. Our approach is based on measuring the importance of feature maps in predicting the output of the model using their Fisher scores. These scor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7beefa9ae8a22857dbd7c848e16b5f6b
https://doi.org/10.1109/dcc50243.2021.00083
https://doi.org/10.1109/dcc50243.2021.00083
Publikováno v:
ICPR
A technique for compressing deep neural models achieving competitive performance to state-of-the-art methods is proposed. The approach utilizes the mutual information between the feature maps and the output of the model in order to prune the redundan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0bc5f2b2675794d7218ca7672ffed31
https://doi.org/10.1109/icpr48806.2021.9412579
https://doi.org/10.1109/icpr48806.2021.9412579
Publikováno v:
Cat P. Le
In this paper, we propose a neural architecture search framework based on a similarity measure between some baseline tasks and a target task. We first define the notion of the task similarity based on the log-determinant of the Fisher Information mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::805d24024d95c7af0e08d263b32c5ac3
Autor:
Christy V. Graves, Robert Ravier, Jonathan C. Mattingly, Justin Luo, Sachet Bangia, Han Sung Kang, Gregory Herschlag
Publikováno v:
Statistics and Public Policy, Vol 7, Iss 1, Pp 30-38 (2020)
Using an ensemble of redistricting plans, we evaluate whether a given political districting faithfully represents the geo-political landscape. Redistricting plans are sampled by a Monte Carlo algorithm from a probability distribution that adheres to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b77b7780395845bebcb9b3a6f818e691