Makan fardad.

Oct 16, 2018 · Tianyun Zhang, Shaokai Y e, Kaiqi Zhang, Jian T ang, Wujie W en, Makan Fardad, and Y anzhi Wang. A systematic dnn weight pruning framework using alternating direction method of multipliers. Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical Engineering, Sharif University of Technology, Iran, 1998. MSc in Control Engineering, Iran University of Science and Technology, 2000.Sijia Liu, Swarnendu Kar, Makan Fardad, Pramod K. Varshney. In the context of distributed estimation, we consider the problem of sensor collaboration, which …Abstract. In this paper, we consider the problem of sensor selection for parameter estimation with correlated measurement noise. We seek optimal sensor activations by formulating an optimization problem, in which the estimation error, given by the trace of the inverse of the Bayesian Fisher information matrix, is minimized subject to energy ...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.

Authors. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. 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.‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang; Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 184-199 Abstract Weight pruning methods for deep neural networks (DNNs) have been investigated recently, but prior work in this area is mainly heuristic, iterative pruning, …

Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, (e-mail: [email protected]) Abstract: We consider the problem of identifying optimal sparse graph representations of dense consensus networks. The performance of the sparse representation is characterized by the global performance measure which quanti es the ...

Makan Fardad Engineering & Computer Science, Syracuse University Verified email at syr.edu Sven Leyffer Senior Computational Mathematician, Argonne National Laboratory Verified email at anl.gov Neil K Dhingra Director -- Optimization and Machine Learning Verified email at umn.eduTianyun Zhang, Shaokai Y e, Kaiqi Zhang, Jian T ang, Wujie W en, Makan Fardad, and Y anzhi Wang. A systematic dnn weight pruning framework using alternating direction method of multipliers.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].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. 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, Bassam Bamieh: A Necessary and Sufficient Frequency Domain Criterion for the Passivity of SISO Sampled-Data Systems. IEEE Trans. Autom. Control. 54 (3): …

IEEE Trans. Signal Process. 71: 4146-4162 ( 2023) [c268] Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney: Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks. CISS 2023: 1-6. [c267] Nandan Sriranga, Baocheng Geng, Pramod K. Varshney: Sequential Processing of Observations in …

Recommended citation: Li, Jiayu, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, and Reza Zafarani. “SGCN: A Graph Sparsifier Based on Graph Convolutional Networks.” Advances in Knowledge Discovery and Data Mining 12084: 275. Share on Twitter Facebook LinkedIn Previous Next Makan Fardad. [email protected]. former graduate student, Mechanical Engineering. Advisor: Bamieh. Thesis title: "The Analysis of Distributed Spatially Periodic Systems" …Teaching. ELE 612/412. ELE 791. ELE 791 - Convex Optimization - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions. 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. 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 …

Authors: Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang (Submitted on 17 Oct 2018 ( v1 ), last revised 4 Nov 2018 (this version, v2))Authors. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. 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.Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical …Progressive weight pruning of deep neural networks using admm. Published in ArXiv, 2018. Recommended citation: Shaokai Ye*, Tianyun Zhang*, Kaiqi Zhang* , Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang Abstract. Deep neural networks (DNNs) although achieving human-level …Specialties: Fardad Mobin, MD is a highly skilled, board-certified neurosurgeon with considerable experience in treating a number of spinal disorders. At his practice, Mobin Neurosurgery, Dr. Mobin is dedicated to the diagnosis, treatment, and care of patients in Beverly Hills, California, providing them with much-needed relief from spinal pain. With …[20]M. Fardad and B. Bamieh, \A necessary and su cient frequency domain criterion for the passivity of SISO sampled-data systems," IEEE Transactions on Automatic Control, vol. 54, no. 3, pp. 611{614, 2009. [21]M. Fardad and B. Bamieh, \Perturbation methods in stability and norm analysis of spatially 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.

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. In International Conference on Computer Aided Design, ACM, 2022. Acceptance rate: 22.5% (132/586) [ECCV’22] Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, and Yanzhi Wang.

Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research …Investigating Shocks to the System, Fardad Receives CAREER Award. Friday, April 27, 2018, By Matt Wheeler. Awards College of Engineering and Computer Science faculty. Makan Fardad. On an average day in India not so long ago, the circuit breakers on a single powerline got tripped. That caused the breakers on another line to …Makan Fardad Engineering & Computer Science, Syracuse University Verified email at syr.edu. Chilukuri Mohan Professor, Electrical Eng. & Computer Science, ... S Liu, SP Chepuri, M Fardad, E Maşazade, G Leus, PK Varshney. IEEE Transactions on Signal Processing 64 (13), 3509-3522, 2016. 203: 2016:Makan Fardad. M. Fardad On Optimality of Sparse Long-Range Links in Circulant Consensus Networks IEEE Transactions on Automatic Control, vol. 62, pp. 4050-4057, 2017. S. Liu, S. Kar, M. Fardad, and P. K. Varshney Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters IEEE Transactions on Signal Processing, vol. 64, pp ...‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬New to LinkedIn? Join now. See who you know in common. Get introduced. Contact Makan directly. View Makan Fardad’s professional profile on …Grief after a deeply-felt loss can range from a sadness that lingers, always hovering in the background, to a total emotional upheaval that turns your entire world upside down. Upd...‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬

Recommended citation: Li, Jiayu, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, and Reza Zafarani. “SGCN: A Graph Sparsifier Based on Graph Convolutional Networks.” Advances in Knowledge Discovery and Data Mining 12084: 275. Share on Twitter Facebook LinkedIn Previous Next

Teaching. ELE 400. ELE 603. ELE 603 - Functional Methods of Engineering Analysis - Fall 2023. Syllabus. Lecture Notes. All lecture notes as one file. Supplementary Texts. Text 1.

Recruiter.com Group News: This is the News-site for the company Recruiter.com Group on Markets Insider Indices Commodities Currencies StocksAU - 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. We use Frequency-Response operators and derive a necessary and sufficient condition on the ...Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ...College of Engineering and Computer Science at Syracuse ...Liu et al. (2013) Sijia Liu, Makan Fardad, Engin Masazade, and Pramod K. Varshney. On optimal periodic sensor scheduling for field estimation in wireless sensor networks. In Global Conference on Signal and Information Processing (GlobalSIP), pp. 137–140. IEEE, 2013. Simonyan & Zisserman (2014) Karen Simonyan and Andrew …Download a PDF of the paper titled Design of optimal sparse interconnection graphs for synchronization of oscillator networks, by Makan Fardad and 2 other authors Download PDF Abstract: We study the optimal design of a conductance network as a means for synchronizing a given set of oscillators.Search within Makan Fardad's work. Search Search. Home; Makan FardadA 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.R. Rajaram wishes to thank Umesh Vaidya and Makan Fardad for their suggestions in writing this article. Reprints and Permissions. Please note: We are unable to provide a copy of the article, please see our help page How do I view content?Makan Fardad received the B.S. and M.S. degrees in electrical engineering from Sharif University of Technology and Iran University of Science and Technology, respectively. He received the Ph.D. degree in mechanical engineering from the University of California, Santa Barbara, in 2006. He was a Postdoctoral Associate at the University of …Fardad Makan; Fardad Makan. Skip slideshow. Most frequent co-Author ...

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 maximumFardad Mobin, MD is a highly skilled, board-certified neurosurgeon with considerable experience in treating a number of spinal disorders. At his practice, Mobin Neurosurgery, Dr. Mobin is dedicated to the diagnosis, treatment, and care of patients in Beverly Hills, California, providing them with much-needed relief from spinal pain.Makan Fardad Spatially periodic systems are of interest in problems of science and engineering and are typically described by partial (integro) di↵erential equations with periodic coecients. In this work we present tools for the analysis of such systems in the spatial-frequency domain.Instagram:https://instagram. miguel martin 11 real housewives of miamicolts football stadium seatingjackie ibanezhow to authorize an iphone on itunes Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244. E-mails: [email protected], [email protected], [email protected]. speckled trout texas limit.30 cal suppressor We multiply AT, which is n m, and B, which is k p, so we better have m = k to avoid a syntax violation. Note: if A is a scalar, then ATB might be a strange thing to write, but can be argued to not violate syntax, even though m 6=k. In a similar way, when B is scalar, you canWe 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 sought using the augmented ... knucklehead's brew house 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.Authors. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. 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.