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20072026
most citedGeometric methods for optimal sensor design

22 citations · 109 across the 52 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

math.OC2020

On Integer Balancing of Digraphs

Mohamed-Ali Belabbas, Xudong Chen

A weighted digraph is balanced if the sums of the weights of the incoming and of the outgoing edges are equal at each vertex. We show that if these sums are integers, then the edge…

cs.RO2020

Vision-Based Shape Reconstruction of Soft Continuum Arms Using a Geometric Strain Parametrization

Ali AlBeladi, Girish Krishnan, Mohamed-Ali Belabbas +1

Interest in soft continuum arms has increased as their inherent material elasticity enables safe and adaptive interactions with the environment. However to achieve full autonomy in…

math.OC2020

Triangulated Laman Graphs, Local Stochastic Matrices, and Limits of Their Products

Mohamed Ali Belabbas, Xudong Chen

We derive conditions on the products of stochastic matrices guaranteeing the existence of a unique limit invariant distribution. Belying our approach is the hereby defined notion o…

math.OC2020

Gradient Approximation and Multi-Variable Derivative-Free Optimization based on Non-Commutative Maps

Jan Feiling, Mohamed-Ali Belabbas, Christian Ebenbauer

In this work, multi-variable derivative-free optimization algorithms for unconstrained optimization problems are developed. A novel procedure for approximating the gradient of mult…

math.CO2020★ 2 cited

On the structural stability of random systems

Mohamed Ali Belabbas, Artur Kirkoryan

Understanding which system structure can sustain stable dynamics is a fundamental step in the design and analysis of large scale dynamical systems. Towards this goal, we investigat…

cs.LG2020★ 8 cited

On implicit regularization: Morse functions and applications to matrix factorization

Mohamed Ali Belabbas

In this paper, we revisit implicit regularization from the ground up using notions from dynamical systems and invariant subspaces of Morse functions. The key contributions are a ne…