output
20062024
most citedAttention-Based Guided Structured Sparsity of Deep Neural Networks

13 citations

15 papers

math.ST2024

Maximum likelihood degree of the -stochastic blockmodel

Cashous Bortner, Jennifer Garbett, Elizabeth Gross +3

Log-linear exponential random graph models are a specific class of statistical network models that have a log-linear representation. This class includes many stochastic blockmodel…

physics.comp-ph2021★ 6 cited

On the Spurious Interior Resonance Modes of Time Domain Integral Equations for Analyzing Acoustic Scattering from Penetrable Objects

Rui Chen, Yifei Shi, Sadeed Bin Sayed +2

The interior resonance problem of time domain integral equations (TDIEs) formulated to analyze acoustic field interactions on penetrable objects is investigated. Two types of TDIEs…

eess.SY2021

Improved Convergence Rate for a Distributed Two-Time-Scale Gradient Method under Random Quantization

Marcos M. Vasconcelos, Thinh T. Doan, Urbashi Mitra

We study the so-called distributed two-time-scale gradient method for solving convex optimization problems over a network of agents when the communication bandwidth between the nod…

math.CO2018★ 2 cited

Matroids with a cyclic arrangement of circuits and cocircuits

Nick Brettell, Deborah Chun, Tara Fife +1

For all positive integers exceeding one, a matroid has the cyclic -property if its ground set has a cyclic ordering such that every set of consecutive elemen…

cs.LG2018★ 13 cited

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani +1

Network pruning is aimed at imposing sparsity in a neural network architecture by increasing the portion of zero-valued weights for reducing its size regarding energy-efficiency co…

math.CO2017★ 3 cited

Inductive tools for connected ribbon graphs, delta-matroids and multimatroids

Carolyn Chun, Deborah Chun, Steven D. Noble

We prove a splitter theorem for tight multimatroids, generalizing the corresponding result for matroids, obtained independently by Brylawski and Seymour. Further corollaries give s…