From the 1 of 5.5k papers with an AI index.
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17 papers · 2 filters
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet +1
We propose a method to reconstruct sparse signals degraded by a nonlinear distortion and acquired at a limited sampling rate. Our method formulates the reconstruction problem as a…
Complexity of near-optimal robust versions of multilevel optimization problems
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne
Near-optimality robustness extends multilevel optimization with a limited deviation of a lower level from its optimal solution, anticipated by higher levels. We analyze the complex…
New perspectives on output feedback stabilization at an unobservable target
Lucas Brivadis, Jean-Paul Gauthier, Ludovic Sacchelli +1
We address the problem of dynamic output feedback stabilization at an unobservable target point. The challenge lies in according the antagonistic nature of the objective and the pr…
LP Based Upper and Lower Bounds for Cesàro and Abel Limits of the Optimal Values in Problems of Control of Stochastic Discrete Time Systems
Konstantin Avrachenkov, Vladimir Gaitsgory, Lucas Gamertsfelder
In this paper, we study asymptotic properties of problems of control of stochastic discrete time systems (also known as Markov decision processes) with time averaging and time disc…
COL0RME: COvariance-based super-Resolution Microscopy with intensity Estimation
Vasiliki Stergiopoulou, José Henrique de Morais Goulart, Sébastien Schaub +2
Super-resolution light microscopy overcomes the physical barriers due to light diffraction, allowing for the observation of otherwise indistinguishable subcellular entities. Howeve…
Fixed Point Strategies in Data Science
Patrick L. Combettes, Jean-Christophe Pesquet
The goal of this paper is to promote the use of fixed point strategies in data science by showing that they provide a simplifying and unifying framework to model, analyze, and solv…