Makan fardad.

Teaching. ELE 612/412. ELE 791. ELE 791 - Convex Optimization - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions. DOI: 10.1007/978-3-030-47426-3_22 Corpus ID: 218593867; SGCN: A Graph Sparsifier Based on Graph Convolutional Networks @article{Li2020SGCNAG, title={SGCN: A Graph Sparsifier Based on Graph Convolutional Networks}, author={Jiayu Li and Tianyun Zhang and Hao Tian and Shengmin Jin and Makan Fardad and Reza Zafarani}, …Makan Fardad Pron.: Maa-'kaan Far-'dad Assistant Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 312 ELE 603 : ELE 312 - Control Systems - Spring 2020 : Syllabus : Office Hours Makan Fardad ...Read Makan Fardad's latest research, browse their coauthor's research, and play around with their algorithmsAU - Fardad, Makan. AU - Bamieh, Bassam. PY - 2004. Y1 - 2004. N2 - We present a frequency-domain solution to the sampled-data passivity problem. Our analysis is exact in that we take into account the intersample behavior of the sampled-data system.

Li J, Zhang T, Tian H, Jin S, Fardad M, Zafarani R. SGCN: A Graph Sparsifier Based on Graph Convolutional Networks . In Lauw HW, Lim EP, Wong RCW, Ntoulas A, Ng SK, Pan SJ, editors, Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings.for example Fardad_ELE791_Hw1.pdf. Homework solutions will be posted on the class website or emailed soon after the deadline and late homework will not be accepted. While discussions on home-work problems are allowed, even encouraged, it is critical that assignments be completed individually and not as a team e ort.Abstract. The worst-case training principle that minimizes the maximal adversarial loss, also known as adversarial training (AT), has shown to be a state-of-the-art approach for enhancing adversarial robustness. Nevertheless, min-max optimization beyond the purpose of AT has not been rigorously explored in the adversarial context.

Adam-admm: A unified, systematic framework of structured weight pruning for dnns. Published in ArXiv, 2018. Recommended citation: Tianyun Zhang*, Kaiqi Zhang*, Shaokai Ye*, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang AbstractFilter by Year. OR AND NOT 1. 2001

Makan Fardad Optimal sparse network design in large-scale dynamical systems. Back to Active Faculty. 2-212 Center of Science & Technology Syracuse University Syracuse, NY 13244 315.443.1060. CASE is a NYSTAR-designated Center for Advanced Technology (CAT). SU CASE Resource Links ...Instructor: Makan Fardad 3-189 SciTech [email protected] Prerequisites: Knowledge of matrix analysis and linear algebra, pro ciency in matlab, and most importantly, willingness to learn. Course Topics: Matrix analysis and linear …We introduce a new memristor-based optimization framework that combines the computational merit of memristor crossbars with the advantages of an operator splitting method, alternating direction method of multipliers (ADMM). Here, ADMM helps in splitting a complex optimization problem into subproblems that involve the solution of systems of ...[10] Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, and Yanzhi Wang. Adam-admm: A unified, systematic framework of structured weight pruning for dnns. arXiv preprint arXiv:1807.11091, 2018. [11] Shaokai Ye and et al. Progressive weight pruning of deep neural networks using admm. arXiv preprint2022 (modified: 15 Nov 2022) ISQED 2022. Adversarial Attack Generation Empowered by Min-Max Optimization. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. Published: 09 Nov 2021, Last …

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College of Engineering and Computer Science at Syracuse University ...

Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin M. Kearney, Makan Fardad. We develop a general framework for state estimation in systems modeled with noise-polluted continuous time dynamics and discrete time noisy measurements. Our approach is based on maximum likelihood estimation and employs the calculus ...This site is created, maintained, and managed by Conference Catalysts, LLC. Please feel free to contact us for any assistance.contact us for any assistance. College of Engineering and Computer Science at Syracuse ... Biography Makan Fardad received the B.S. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 1998, the M.S. degree in electrical engineering from the Iran University of Science and Technology, Tehran, in 2000, and the Ph.D. degree in mechanical engineering from the University of California at Santa Barbara, Santa Barbara, CA, USA, in 2006. Sparsified Graph Convolutional Network (SGCN), a neu-ral network graph sparsifier to prune the input graph to GCN without losing much accuracy in node classification. We formulate graph sparsification as an optimization prob-lem, which we efficiently solve via the Alternating Direction Method of Multipliers (ADMM) [3]. M. Fardad and B. Bamieh. An Extension of the Argument Principle and Nyquist Criterion to a Class of Systems with Unbounded Generators. IEEE Transactions on Automatic Control, 53(1):379-384, 2008. Keyword(s): Distributed and PDE Systems Theory. Makan Fardad and Bassam Bamieh.

Widespread theatrical closures have forced the Academy of Motion Picture Arts and Sciences to loosen the rules around which films qualify for Oscars. This might not seem like much ...author = "Engin Masazade and Makan Fardad and Varshney, {Pramod K.}", note = "Funding Information: Manuscript received July 03, 2012; revised August 21, 2012; accepted August 30, 2012. Date of publication September 21, 2012; date of current version October 16, 2012.Tianyun Zhang, Kaiqi Zhang, Shaokai Y e, Jiayu Li, Jian T ang, Wujie W en, Xue Lin, Makan Fardad, and Y anzhi Wang. Adam-admm: A unified, systematic framework of structured weight pruning for dnns.M. Fardad and B. Bamieh. An Extension of the Argument Principle and Nyquist Criterion to a Class of Systems with Unbounded Generators. IEEE Transactions on Automatic Control, 53(1):379-384, 2008. Keyword(s): Distributed and PDE Systems Theory. Makan Fardad and Bassam Bamieh.Griffin M. Kearneya,b1, Makan Fardadb2 aOpB Data Insights LLC, Syracuse, NY 13224 bSyracuse University, Syracuse, NY 13244 Abstract We develop a general framework for state estimation in systems modeled with noise-polluted con-tinuous time dynamics and discrete time noisy measurements. Our approach is based on maximum

College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬

ELE791 HW3 M.Fardad 1. [B&V, problem 3.6] When is the epigraph of a function a halfspace? When is the epigraph of a function a polyhedron? 2. [B&V, problems 3.18,20] Adapt the proof of convexity of the negative log-determinant function dis-cussed in class to show that f(X) = trace(X 1) is convex on domf = Sn ++. Use this to prove theThe Fleetwood Wilderness is a line of travel trailers and fifth wheels. Because there are many models, the specifications vary, however there are some similarities and ranges that ...To address these ques-tions, we propose Sparsified Graph Convolutional Network (SGCN), a neural network graph sparsifier that sparsifies a graph by pruning some edges. We formulate sparsification as an optimization problem, which we solve by an Alternating Direction Method of Multipliers (ADMM)-based solution.Makan W Fardad lives in Fayetteville, NY. They have also lived in Ventura, CA and Syracuse, NY. Makan is related to Anna S Chernobai . View Makan's cell phone and current address. Makan W Fardad . Fayetteville, …AU - Fardad, Makan. AU - Lin, Fu. AU - Jovanović, Mihailo R. PY - 2010. Y1 - 2010. N2 - We use the dual decomposition method along with the dual subgradient algorithm to decouple the linear quadratic optimal control problem for a system of single-integrator vehicles. This produces the optimal control law in a localized manner, in the sense ...‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬

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Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ...

The average speedups reach 3.15x and 8.52x when allowing a moderate accuracy loss of 2%. In this case, the model compression for convolutional layers is 15.0x, corresponding to 11.93x measured CPU speedup. As another example, for the ResNet-18 model on the CIFAR-10 data set, we achieve an unprecedented 54.2x structured pruning rate on …Tianyun Zhang, Kaiqi Zhang, Shaokai Y e, Jiayu Li, Jian T ang, Wujie W en, Xue Lin, Makan Fardad, and Y anzhi Wang. Adam-admm: A unified, systematic framework of structured weight pruning for dnns.Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin M. Kearney, Makan Fardad. We develop a general framework for state estimation in systems modeled with noise-polluted continuous time dynamics and discrete time noisy measurements. Our approach is based on maximum likelihood estimation and employs the calculus ...A systematic DNN weight pruning framework using alternating direction method of multipliers. Recommended citation: Tianyun Zhang*, Shaokai Ye * (* equal contribution), Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang European Conference on Computer Vision ECCV2018.Li, J, Zhang, T, Jin, S, Fardad, M & Zafarani, R 2022, ADVERSPARSE: AN ADVERSARIAL ATTACK FRAMEWORK FOR DEEP SPATIAL-TEMPORAL GRAPH NEURAL NETWORKS. in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings.Makan Fardad [email protected] Reza Zafarani [email protected] 1 Syracuse University, Syracuse, USA 2 Cleveland State University, Cleveland, USA ing[26],oronnodeclassification[2],whichistheparticular focus of this study. In node classification, one aims to classify nodes in aDads today are doing more than ever before. Dads, tell us what modern fatherhood looks like to you! What’s your defining moment as a dad? What do you do better than anyone? What’s ...Makan Fardad and Bassam Bamieh Abstract The Nyquist Stability Criterion is generalized to systems where the (open-loop) system has infinite-dimensional input/output spaces and a (possibly) unbounded infinitesimal generator. This is done through use of the perturbation To address these ques-tions, we propose Sparsified Graph Convolutional Network (SGCN), a neural network graph sparsifier that sparsifies a graph by pruning some edges. We formulate sparsification as an optimization problem, which we solve by an Alternating Direction Method of Multipliers (ADMM)-based solution. Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 612/412 ELE 791 : College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 Email: [email protected] where x=makan, y=syr, z=edu ...China is a huge country with a wide variety of landforms, from the southwestern Himalayan Mountains, including Mount Everest on the Nepal-China border and the massive Gobi and Takl...

‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬Jun 9, 2019 · Adversarial Attack Generation Empowered by Min-Max Optimization. The worst-case training principle that minimizes the maximal adversarial loss, also known as adversarial training (AT), has shown to be a state-of-the-art approach for enhancing adversarial robustness. Nevertheless, min-max optimization beyond the purpose of AT has not been ... Read Makan Fardad's latest research, browse their coauthor's research, and play around with their algorithmsTianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, and Yanzhi Wang. A systematic dnn weight pruning framework using alternating direction method of multipliers.Instagram:https://instagram. gaylord ice arena Rip currents are narrow, powerful currents of water that run from the beach out into the ocean. Learn how rip currents form and how to escape rip currents. 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We show that the resulting collaboration ... lux theater in caldwell Wayfinding and information design is on the frontlines in Ukraine Ukravtodor, the state agency in charge of Ukraine’s highways and road signs, is playing a tactical role in slowing... is atz kilcher still alive Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical …Fardad, Makan ; Lin, Fu ; Jovanović, Mihailo R. / Sparsity-promoting optimal control for a class of distributed systems. Proceedings of the 2011 American Control Conference, ACC 2011. Institute of Electrical and Electronics Engineers Inc., 2011. pp. 2050-2055 (Proceedings of the American Control Conference). nikki 90 day before transition College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. T Zhang, X Ma, Z Zhan, S Zhou, C Ding, M Fardad, Y Wang. 2021 58th ACM/IEEE Design Automation Conference (DAC), 493-498. , 2021. 26 *. 2021. An image enhancing pattern-based sparsity for real-time inference on mobile devices. helluva boss reader insert Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin M. Kearney, Makan Fardad. We develop a general framework for state estimation in systems modeled with noise-polluted continuous time dynamics and discrete time noisy measurements. Our approach is based on maximum likelihood estimation and employs the calculus ...We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information from only a limited number of subsystems. The minimizer of this constrained optimal control problem is …China is a huge country with a wide variety of landforms, from the southwestern Himalayan Mountains, including Mount Everest on the Nepal-China border and the massive Gobi and Takl... aa 845 flight status A systematic DNN weight pruning framework using alternating direction method of multipliers. Recommended citation: Tianyun Zhang*, Shaokai Ye * (* equal contribution), Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang European Conference on Computer Vision ECCV2018.Makan Fardad. Electrical Eng. & Computer Sci. 3-189 SciTech, Syracuse Univ. Syracuse, NY 13244. Tel: (805) 280{1232 Email: [email protected] http://ecs.syr.edu/faculty/fardad. Academic Appointments. Associate Professor Syracuse University, May 2018 { present Department of Electrical Engineering & Computer Science. juror portal.douglascountyks.org E-mail addresses:[email protected](M.R. Jovanovi´c), [email protected] (M. Fardad). The utility of input output analysis for linear time-invariant (LTI) systems is well documented (Zhou,Doyle,& Glover, 1996). TheH2 norm is an appealing measure of input output amplication, as it quanties variance amplication in stochastically driven linear systems. silverwood season tickets Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244. E-mails: [email protected], [email protected], [email protected] Fardad (makan@syr) Mon 1:00pm--2:00pm Wed 1:00pm--2:00pm : 3-189 SciTech : Lecture Notes Lecture 1 (Mon, 13 Jan) Lecture 2 (Wed, 15 Jan) MLK Day (Mon, 20 Jan) level e unit 2 Assistant Professor Makan Fardad is exposing minor failures in infrastructure networks to stop them from snowballing into full-blown catastrophes.An iterative algorithm that solves a semidefinite program at every stage and for which the nonconvex constraint is satisfied upon convergence is introduced, which can be used in a wide range of network control problems. We consider the problem of finding optimal feedback gains in the presence of structural constraints and/or sparsity …