Makan fardad

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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 ...: Get the latest CSC Financial stock price and detailed information including news, historical charts and realtime prices. Indices Commodities Currencies Stocks 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 Epidermolysis bullosa (EB) is a group of disorders in which skin blisters form after a minor injury. It is passed down in families. Epidermolysis bullosa (EB) is a group of disorde...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): …Experience. Associate Professor. Syracuse University. View makan fardad’s profile on LinkedIn, the world’s largest professional community. makan has 1 job listed on their profile. See the...Apr 26, 2024 · Makan Fardad, Associate Professor Ph.D., University of California, Santa Barbara, 2006 Comvex optimization; Design and optimal control of complex networks; Synchronization and consensus multi-agent systems. James W. Fawcett, Emeritus Teaching Professor Ph.D., Syracuse University, 1981 Software, software complexity, re-use, salvage

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 Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ...Makan Fardad. Makan Fardad. This person is not on ResearchGate, or hasn't claimed this research yet. B. Bamieh. University of California, Santa Barbara; Download full-text PDF Read full-text.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 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬I am an unapologetic champion of serving a salad with Thanksgiving dinner. Even though I am completely here for the casseroles, a pile of raw leaves can cleanse the palate and invi...

M. Fardad 1 MakanMMakanakan FFFardardardadadad Electrical Eng. & Computer Sci. Tel: (805) 280{1232 3-189 SciTech, Syracuse Univ. Email: [email protected] College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936Authors. 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.Get ratings and reviews for the top 12 pest companies in Tupelo, MS. Helping you find the best pest companies for the job. Expert Advice On Improving Your Home All Projects Feature... 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 ...

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Oct 16, 2018 · Research Portal ... Powered by 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 NextOptimization 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 ...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 …If you drive a relatively new car, there are usually a few sensors and cameras in place to help keep you safe. Here are the six major sensors on your car you should look for and ke...

Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU 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 ...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 …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.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 ...Tianyun 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, …Makan Fardad Mihailo Jovanovic We examine the leader selection problem in multi-agent dynamical networks where leaders, in addition to relative information from their neighbors, also have access ...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 ...Authors: Fu Lin, Makan Fardad, Mihailo R. Jovanović Download PDF 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.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).2-212 Center of Science & Technology Syracuse University Syracuse, NY 13244 315.443.1060Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research …

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. …

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): … 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 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 … 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. Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU 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.Deep neural networks (DNNs) although achieving human-level performance in many domains, have very large model size that hinders their broader applications on edge computing devices. Extensive research work have been conducted on DNN model compression or pruning. However, most of the previous work took heuristic approaches. …Deep neural networks (DNNs) although achieving human-level performance in many domains, have very large model size that hinders their broader applications on edge computing devices. Extensive research work have been conducted on DNN model compression or pruning. However, most of the previous work took heuristic approaches. This work proposes a progressive weight pruning approach based on ADMM ...for example Fardad_ELE612_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.Authors: Fu Lin, Makan Fardad, Mihailo R. Jovanović Download PDF 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.

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The electric power grid is a complex cyber-physical system, whose reliable and secure operation is of paramount importance to national security and economic vitality. There is a growing and evolving t...Makan Fardad. We propose a definition of almost Toeplitz matrices as matrices with off-diagonal decay that are close to begin Toeplitz in their center columns and decrease in Toeplitzness toward ...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 ...We present a systematic weight pruning framework of deep neural networks (DNNs) using the alternating direction method of multipliers (ADMM). We first formulate the weight pruning problem of DNNs as a constrained nonconvex optimization problem, and then adopt the ADMM framework for systematic weight pruning. We show that ADMM is highly suitable ... 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 the 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 …Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical …Makan Fardad. [email protected]. former graduate student, Mechanical Engineering. Advisor: Bamieh. Thesis title: "The Analysis of Distributed Spatially Periodic Systems" … ….

Deep neural networks (DNNs) although achieving human-level performance in many domains, have very large model size that hinders their broader applications on edge computing devices. Extensive research work have been conducted on DNN model compression or pruning. However, most of the previous work took heuristic approaches. …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.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 ...In a report released yesterday, Naz Rahman from Maxim Group maintained a Buy rating on scPharmaceuticals (SCPH – Research Report), with a ... In a report released yesterday, ...Search within Makan Fardad's work. Search Search. Home; Makan FardadAuthors: 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, …New to LinkedIn? Join now. See who you know in common. Get introduced. Contact Makan directly. View Makan Fardad’s professional profile on …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): … 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 the Makan fardad, [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1]