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20112026
most citedA Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers

498 citations · 1.8k across the 20 of their papers we have counts for

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6 papers · 1 filter

math.OC2025

Adaptive Clutter Suppression via Convex Optimization

Yifan He, Griffin Kearney, Makan Fardad

Passive and bistatic radar systems are often limited by strong clutter and direct-path interference that mask weak moving targets. Conventional cancellation methods such as the ext…

math.OC2023

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 m…

math.OC2013★ 126 cited

Algorithms for leader selection in stochastically forced consensus networks

Fu Lin, Makan Fardad, Mihailo R. Jovanović

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 prob…

math.OC2013★ 71 cited

Design of optimal sparse interconnection graphs for synchronization of oscillator networks

Makan Fardad, Fu Lin, Mihailo R. Jovanović

We study the optimal design of a conductance network as a means for synchronizing a given set of oscillators. Synchronization is achieved when all oscillator voltages reach consens…

math.OC2011★ 201 cited

Optimal Control of Vehicular Formations with Nearest Neighbor Interactions

Fu Lin, Makan Fardad, Mihailo R. Jovanović

We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors. The control objecti…

math.OC2011★ 386 cited

Design of Optimal Sparse Feedback Gains via the Alternating Direction Method of Multipliers

Fu Lin, Makan Fardad, Mihailo R. Jovanović

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. First,…