Articoli con mandati relativi all'accesso pubblico - Stephen BoydUlteriori informazioni
Non disponibili pubblicamente: 2
Advances in inverse planning algorithm and strategy
M Zarepisheh, B Ungun, R Li, Y Ye, S Boyd, L Xing
Advanced and Emerging Technologies in Radiation Oncology Physics, 149-177, 2018
Mandati: US National Institutes of Health
TH‐AB‐BRB‐02: Enabling web‐based treatment planning using a state‐of‐the‐art convex optimization solver
B Ungun, M Folkerts, K Bush, S Boyd, L Xing
Medical Physics 42 (6Part41), 3704-3704, 2015
Mandati: US National Institutes of Health
Disponibili pubblicamente: 78
CVXPY: A Python-embedded modeling language for convex optimization
S Diamond, S Boyd
Journal of Machine Learning Research 17 (83), 1-5, 2016
Mandati: US National Institutes of Health
A differential equation for modeling Nesterov's accelerated gradient method: Theory and insights
W Su, S Boyd, EJ Candes
Journal of Machine Learning Research 17 (153), 1-43, 2016
Mandati: US National Science Foundation
Variations and extension of the convex–concave procedure
T Lipp, S Boyd
Optimization and Engineering 17, 263-287, 2016
Mandati: US National Science Foundation
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems 32, 2019
Mandati: US National Science Foundation
Generalized low rank models
M Udell, C Horn, R Zadeh, S Boyd
Foundations and Trends in Machine Learning 9 (1), 1-118, 2016
Mandati: US National Science Foundation
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging
V Sitzmann, S Diamond, Y Peng, X Dun, S Boyd, W Heidrich, F Heide, ...
ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018
Mandati: US National Science Foundation
Toeplitz inverse covariance-based clustering of multivariate time series data
D Hallac, S Vare, S Boyd, J Leskovec
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mandati: US National Science Foundation, US Department of Defense, US National …
Network lasso: Clustering and optimization in large graphs
D Hallac, J Leskovec, S Boyd
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
Mandati: US National Institutes of Health
Compressed sensing based cone‐beam computed tomography reconstruction with a first‐order method a
K Choi, J Wang, L Zhu, TS Suh, S Boyd, L Xing
Medical physics 37 (9), 5113-5125, 2010
Mandati: US National Institutes of Health
An ADMM algorithm for a class of total variation regularized estimation problems
B Wahlberg, S Boyd, M Annergren, Y Wang
IFAC Proceedings Volumes 45 (16), 83-88, 2012
Mandati: Swedish Research Council
Network inference via the time-varying graphical lasso
D Hallac, Y Park, S Boyd, J Leskovec
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mandati: US National Science Foundation, US Department of Defense, US National …
Segmentation of ARX-models using sum-of-norms regularization
H Ohlsson, L Ljung, S Boyd
Automatica 46 (6), 1107-1111, 2010
Mandati: Swedish Research Council
Disciplined convex-concave programming
X Shen, S Diamond, Y Gu, S Boyd
2016 IEEE 55th conference on decision and control (CDC), 1009-1014, 2016
Mandati: US National Science Foundation
Temperature-aware processor frequency assignment for mpsocs using convex optimization
S Murali, A Mutapcic, D Atienza, R Gupta, S Boyd, G De Micheli
Proceedings of the 5th IEEE/ACM international conference on Hardware …, 2007
Mandati: Swiss National Science Foundation
PID design by convex-concave optimization
M Hast, KJ Åström, B Bernhardsson, S Boyd
2013 European Control Conference (ECC), 4460-4465, 2013
Mandati: Swedish Research Council
Temperature control of high-performance multi-core platforms using convex optimization
S Murali, A Mutapcic, D Atienza, R Gupta, S Boyd, L Benini, G De Micheli
Proceedings of the conference on Design, automation and test in Europe, 110-115, 2008
Mandati: Swiss National Science Foundation
Model-based deep learning: On the intersection of deep learning and optimization
N Shlezinger, YC Eldar, SP Boyd
IEEE Access 10, 115384-115398, 2022
Mandati: European Commission
A general system for heuristic minimization of convex functions over non-convex sets
S Diamond, R Takapoui, S Boyd
Optimization Methods and Software 33 (1), 165-193, 2018
Mandati: US National Science Foundation, US Department of Defense
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