Makan fardad.

Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang & Makan Fardad Department of Electrical Engineeringand ComputerScience Syracuse University, Syracuse, NY 13244,USA {tzhan120,sye106,yzhan139,ywang393,makan}@syr.edu ABSTRACT We present a systematic weight pruning framework of deep neural networksMathematics > Optimization and Control. [Submitted on 3 Nov 2023] Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin …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.Makan Fardad | Papers With Code. Search Results for author: Makan Fardad. Found 11 papers, 5 papers with code. Date Published. Loss Attitude Aware Energy Management for Signal Detection. no code implementations • 18 Jan 2023 • Baocheng Geng , Chen Quan , Tianyun Zhang , Makan Fardad , Pramod K. Varshney.The inherently borderless nature of gaming is coming into play in a new way in the coronavirus economy; and it's not just because esports are online. There’s a quote I like to say ...

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

Fu Lin, Makan Fardad, and Mihailo R. Jovanovic. Abstract. We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the norm) of distributed systems. Our approach consists of two steps.M. Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, New York 13244 (e-mail: [email protected]). of the algebraic Riccati equation A P+PA Q 2 = 0 with Toeplitz coefficients A;Q( d A= Q= 2) then P can be of the same order as N. Thus, based on the definition of almost Toeplitzness proposed by [1], …

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 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 ...Makan Fardad. [email protected]. former graduate student, Mechanical Engineering. Advisor: Bamieh. Thesis title: "The Analysis of Distributed Spatially Periodic Systems" …Advisor: Bassam Bamieh No students known. If you have additional information or corrections regarding this mathematician, please use the update form.To submit students of this mathematician, please use the new data form, noting this mathematician's MGP ID of 104223 for the advisor ID.

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Jian Tang 1, Makan Fardad , Sijia Liu4, Xiang Chen3, Xue Lin2 & Yanzhi Wang2 1. Syracuse University, USA fsye106,tzhan120,kzhang17,jli221,jtang02,[email protected] 2. Northeastern University, USA 3. George Mason University, USA 4. MIT-IBM Watson AI Lab, IBM Research Equal Contribution ABSTRACT

‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬ Fu Lin, Makan Fardad, and Mihailo R. Jovanovic. Abstract. We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the norm) of distributed systems. Our approach consists of two steps.In this work, we overcome pruning ratio and GPU acceleration limitations by proposing a unified, systematic framework of structured weight pruning for DNNs, named ADAM-ADMM (Adaptive Moment Estimation-Alternating Direction Method of Multipliers). It is a framework that can be used to induce different types of structured sparsity, such as filter ...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 and Bassam Bamieh. A Necessary and Sufficient Frequency Domain Criterion for the Passivity of SISO Sampled-Data Systems. IEEE Transactions on Automatic Control, 54(3):611-614, March 2008. Keyword(s): Sampled-Data Systems. M. Fardad and B. …‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang1 ;2 Tianyun Zhang3 Sijia Liu4 5 Pin-Yu Chen5 Jiacen Xu6 Makan Fardad7 Bo Li8 University of Toronto1, Vector Institute2, Cleveland State University3 Michigan State University4, MIT-IBM Watson AI Lab, IBM Research5 University of California, Irvine6, Syracuse …

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 ...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.Filter by Year. OR AND NOT 1. 2001AU - Fardad, Makan. AU - Bamieh, Bassam. PY - 2009. Y1 - 2009. N2 - We present a frequency domain solution to the sampled-data passivity problem. Our analysis is exact in the sense that we take into account the intersample behavior of the system.Li, J, Zhang, T, Tian, H, Jin, S, Fardad, M & Zafarani, R 2020, SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. in HW Lauw, E-P Lim, RC-W Wong, A Ntoulas, S-K Ng & SJ Pan (eds), Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings. Lecture Notes in Computer Science …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): 611-614 (2009)

M. Fardad 1 MakanMMakanakan FFFardardardadadad Electrical Eng. & Computer Sci. Tel: (805) 280{1232 3-189 SciTech, Syracuse Univ. Email: [email protected]

Thesis title: "The Analysis of Distributed Spatially Periodic Systems". Current position: Assistant Professor, Electrical Engineering & Computer Science Dept., Syracuse University, NY. Course Number. Title. Instructor. Center for Control, Dynamical Systems and Computation • University of California, Santa Barbara. Kearney, Griffin ; Fardad, Makan. / On the Induction of Cascading Failures in Transportation Networks. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1821-1826 (Proceedings of the IEEE Conference on Decision and Control). 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 perturbationThis work develops an alternating descent method to determine the structured optimal gain using the augmented Lagrangian method, and utilizes the sensitivity interpretation of the Lagrange multiplier to identify favorable communication architectures for structured optimal design. We consider the design of optimal state feedback gains … College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 Fu Lin, Makan Fardad, and Mihailo R. Jovanovic´ Abstract—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 Sijia Liu, Member, IEEE, Yanzhi Wang, Member, IEEE Makan Fardad, Member, IEEE, and Pramod K. Varshney, Fellow, IEEE Abstract Memristors have recently received significant attention as ubiquitous device-level components for building a novel generation of computing systems. These devices have many promising features, such Fu Lin, Makan Fardad, and Mihailo R. Jovanovic´ Abstract—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

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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 …

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]. Zhao, P, Xu, K, Zhang, T, Fardad, M, Wang, Y & Lin, X 2018, Reinforced adversarial attacks on deep neural networks using ADMM. in 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings., 8646651, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1169 ... 2-212 Center of Science & Technology Syracuse University Syracuse, NY 13244 315.443.1060The inherently borderless nature of gaming is coming into play in a new way in the coronavirus economy; and it's not just because esports are online. There’s a quote I like to say ...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 identical or nearly identical oscillators.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 ...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 …PROGRESSIVE WEIGHT PRUNING OF DEEP NEURAL NETWORKS USING ADMM Shaokai Ye 1, Tianyun Zhang , Kaiqi Zhang , Jiayu Li1, Kaidi Xu2, Yunfei Yang, Fuxun Yu3, Jian Tang 1, Makan Fardad , Sijia Liu4, Xiang Chen3, Xue Lin2 & Yanzhi Wang2 1. Syracuse University, USA fsye106,tzhan120,kzhang17,jli221,jtang02,[email protected] … 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. A fast centralized optimization algorithm based on the alternating direction method of multipliers (ADMM) and a low-complexity distributed version of the ADMM where each sensor makes a local sensor selection decision are developed.

View Makan Fardad’s professional profile on LinkedIn. LinkedIn is the world’s largest business network, helping professionals like Makan Fardad discover inside connections to recommended job ...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: Linear algebra review; least-squares and …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.Instagram:https://instagram. female belly expansion videos Dr. Makan Fardad: Consensus-Based Community Detection in Dynamical Networks: Thurs, Apr 7 : Dr. Piya Pal: Smart Sampling For High Dimensional Inverse Problems: Thurs, Apr 14 : Dr. Raviraj S. Adve: Analysis, Algorithms and Design Tools for Wireless Networks: Tues, Apr 19 : Dr. Yingbin Liang: Kernel-based Detection of Anomalous Structures over ... label shopper dover foxcroft 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]. shadow tracker fortnite Makan Fardad, UCSB A Perturbation Approach to the H 2 Analysis of Spatially Periodic Systems. 1:30 . Daniel Choukroun, UCLA. A General Optimal Non-linear Sequential Filter with an Application to Mode-Estimation for Jump-Linear Systems. 2:00 . Matthew Graham, UCSD stfc sarcophagus 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).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 , last revised 4 Nov 2018 (this version, v2)) Abstract: Deep neural networks (DNNs) although achieving human-level performance in many domains, … jay persaud orlando Jun 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 ... Please cite our work using the BibTeX below. @misc{wang2021adversarial, title={Adversarial Attack Generation Empowered by Min-Max Optimization}, author={Jingkang Wang and Tianyun Zhang and Sijia Liu and Pin-Yu Chen and Jiacen Xu and Makan Fardad and Bo Li}, year={2021}, eprint={1906.03563}, archivePrefix={arXiv}, … what card is jpmcb Apr 27, 2018 · 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 go down. Then another. AU - Fardad, Makan. AU - Jovanovic, Mihailo R. PY - 2011/12. Y1 - 2011/12. N2 - 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 ... nails knightdale 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.Fu Lin, Makan Fardad, and Mihailo R. Jovanovic´ Abstract—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 comsae asa 110 Fu Lin, Makan Fardad, and Mihailo R. Jovanović Abstract— We design sparse and block sparse feedback gains that mini- mize the variance amplification (i.e., the norm) of distributed systems.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. bubble letter d outline Fu Lin, Makan Fardad, and Mihailo R. Jovanovi´c Abstract We are interested in assigning a pre-specified number of nodes as leaders in order to minimize the mean-square deviation from consensus in stochastically forced networks. This problem arises in several applications including control of vehicular formations and localization in sensor ... male handsome male hallmark actors He was a Post-Doctoral Associate with the University of Minnesota, Minneapolis, MN, USA. He joined the Department of Electrical Engineering and Computer Science, Syracuse … us post office sacramento ca PROGRESSIVE WEIGHT PRUNING OF DEEP NEURAL NETWORKS USING ADMM Shaokai Ye 1, Tianyun Zhang , Kaiqi Zhang , Jiayu Li1, Kaidi Xu2, Yunfei Yang, Fuxun Yu3, Jian Tang 1, Makan Fardad , Sijia Liu4, Xiang Chen3, Xue Lin2 & Yanzhi Wang2 1. Syracuse University, USA fsye106,tzhan120,kzhang17,jli221,jtang02,[email protected] …Apr 27, 2018 · 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 go down. Then another.