619 citations · 1.4k across the 27 of their papers we have counts for
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The fastest prox in the west
Benjamín Béjar, Ivan Dokmanić, René Vidal
Proximal operators are of particular interest in optimization problems dealing with non-smooth objectives because in many practical cases they lead to optimization algorithms whose…
Don't take it lightly: Phasing optical random projections with unknown operators
Sidharth Gupta, Rémi Gribonval, Laurent Daudet +1
In this paper we tackle the problem of recovering the phase of complex linear measurements when only magnitude information is available and we control the input. We are motivated b…
Real Polynomial Gram Matrices Without Real Spectral Factors
Puoya Tabaghi, Ivan Dokmanić
It is well known that a non-negative definite polynomial matrix (a polynomial Gramian) can be written as a product of its polynomial spectral factors, .…
Learning Schatten--von Neumann Operators
Puoya Tabaghi, Maarten de Hoop, Ivan Dokmanić
We study the learnability of a class of compact operators known as Schatten--von Neumann operators. These operators between infinite-dimensional function spaces play a central role…
Shapes from Echoes: Uniqueness from Point-to-Plane Distance Matrices
Miranda Krekovic, Ivan Dokmanic, Martin Vetterli
We study the problem of localizing a configuration of points and planes from the collection of point-to-plane distances. This problem models simultaneous localization and mapping f…
Solving Complex Quadratic Systems with Full-Rank Random Matrices
Shuai Huang, Sidharth Gupta, Ivan Dokmanić
We tackle the problem of recovering a complex signal from quadratic measurements of the form , where…