Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Peter J, Ramadge"'
Autor:
Manoj Kumar, Cameron T Ellis, Qihong Lu, Hejia Zhang, Mihai Capotă, Theodore L Willke, Peter J Ramadge, Nicholas B Turk-Browne, Kenneth A Norman
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 1, p e1007549 (2020)
Advanced brain imaging analysis methods, including multivariate pattern analysis (MVPA), functional connectivity, and functional alignment, have become powerful tools in cognitive neuroscience over the past decade. These tools are implemented in cust
Externí odkaz:
https://doaj.org/article/580abb344f644e9d8b68cf318019b4a4
Autor:
Sanjiban Choudhury, Mung Chiang, Peter J. Ramadge, Jonathan C. Spencer, Sidd Srinivasa, Matt Barnes, Matt Schmittle
Publikováno v:
Autonomous Robots. 46:99-113
Scalable robot learning from human-robot interaction is critical if robots are to solve a multitude of tasks in the real world. Current approaches to imitation learning suffer from one of two drawbacks. On the one hand, they rely solely on off-policy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c328597c6930caf67c8e76cce9f78f3
https://doi.org/10.1007/s10514-021-10006-9
https://doi.org/10.1007/s10514-021-10006-9
Autor:
Manoj Kumar, null Michael Anderson, James Antony, Christopher Baldassano, Paula Pacheco Brooks, Ming Bo Cai, Po-Hsuan Cameron Chen, Cameron Thomas Ellis, Gregory Henselman-Petrusek, David Huberdeau, J. Benjamin Hutchinson, Y. Peeta Li, Qihong Lu, Jeremy R. Manning, Anne C. Mennen, Samuel A. Nastase, Hugo Richard, Anna C. Schapiro, Nicolas W Schuck, Michael Shvartsman, Narayanan Sundaram, Daniel Suo, Javier S. Turek, David Turner, Vy Vo, Grant Wallace, Yida Wang, Jamal A. Williams, Hejia Zhang, Xia Zhu, Mihai Capota, Jonathan D. Cohen, Uri Hasson, Kai Li, Peter J. Ramadge, Nicholas Turk-Browne, Theodore L. Willke, Kenneth A. Norman
Publikováno v:
Aperture Neuro
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924227a8444ec4fa72f357e0287906b4
https://pubmed.ncbi.nlm.nih.gov/35939268
https://pubmed.ncbi.nlm.nih.gov/35939268
Publikováno v:
IEEE Journal of Solid-State Circuits. 54:1789-1799
Large-scale matrix-vector multiplications, which dominate in deep neural networks (DNNs), are limited by data movement in modern VLSI technologies. This paper addresses data movement via an in-memory-computing accelerator that employs charged-domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4858b738fce96c31fa0089ae005b5c3
https://doi.org/10.1109/jssc.2019.2899730
https://doi.org/10.1109/jssc.2019.2899730
Publikováno v:
ACC
We explore the idea of online learning and control in concert with a form of robust control. The objective is to avoid excessive transients during the learning phase. We examine a controller formed as a convex combination of an aggressive and conserv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f572f79eb9a55392b6dc965abce659
https://doi.org/10.23919/acc50511.2021.9483042
https://doi.org/10.23919/acc50511.2021.9483042
Autor:
Peter J. Ramadge, Jennifer Hsia
Publikováno v:
CISS
We experimentally examine how gradient descent navigates the landscape of matrix factorization to obtain a global minimum. First, we review the critical points of matrix factorization and introduce a balanced factorization. By focusing on the balance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5994856a74d047e65f270074d1d89c73
https://doi.org/10.1109/ciss50987.2021.9400232
https://doi.org/10.1109/ciss50987.2021.9400232
Publikováno v:
CISS
Since most industrial control applications use PID controllers, PID tuning and anti-windup measures are significant problems. This paper investigates tuning the feedback gains of a PID controller via back-calculation and automatic differentiation too
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57c5a121f01c3e2cf59fc328fbf0e1e1
Autor:
Matt Schmittle, Jonathan C. Spencer, Sanjiban Choudhury, Matt Barnes, Peter J. Ramadge, Mung Chiang, Siddhartha S. Srinivasa
Publikováno v:
Robotics: Science and Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594795c87561f798576e5526c7d53f94
https://doi.org/10.15607/rss.2020.xvi.055
https://doi.org/10.15607/rss.2020.xvi.055
Autor:
Nicholas B. Turk-Browne, Kenneth A. Norman, Cameron T. Ellis, Mihai Capota, Qihong Lu, Peter J. Ramadge, Manoj Kumar, Theodore L. Willke, Hejia Zhang
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 1, p e1007549 (2020)
PLoS Computational Biology, Vol 16, Iss 1, p e1007549 (2020)
Advanced brain imaging analysis methods, including multivariate pattern analysis (MVPA), functional connectivity, and functional alignment, have become powerful tools in cognitive neuroscience over the past decade. These tools are implemented in cust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1657860a5554211ad586f4f7580e0632
http://europepmc.org/articles/PMC6961866
http://europepmc.org/articles/PMC6961866
Autor:
Hossein Valavi, Peter J. Ramadge
Publikováno v:
CISS
Low-rank matrix factorization can reveal fundamental structure in data. For example, joint-PCA on multi-datasets can find a joint, lower-dimensional representation of the data. Recently other similar matrix factorization methods have been introduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41a59f4f32a68a5399e3e06491142f0c
https://doi.org/10.1109/ciss.2019.8692932
https://doi.org/10.1109/ciss.2019.8692932