Victor Magron

Orcid: 0000-0003-1147-3738

According to our database1, Victor Magron authored at least 75 papers between 2013 and 2024.

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Bibliography

2024
State polynomials: positivity, optimization and nonlinear Bell inequalities.
Math. Program., September, 2024

Exploiting ideal-sparsity in the generalized moment problem with application to matrix factorization ranks.
Math. Program., May, 2024

Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization.
CoRR, 2024

Local Lipschitz Constant Computation of ReLU-FNNs: Upper Bound Computation with Exactness Verification.
Proceedings of the European Control Conference, 2024

2023
Exploiting Term Sparsity in Moment-SOS Hierarchy for Dynamical Systems.
IEEE Trans. Autom. Control., December, 2023

A hierarchy of spectral relaxations for polynomial optimization.
Math. Program. Comput., December, 2023

Correlations constrained by composite measurements.
Quantum, August, 2023

A Sparse Version of Reznick's Positivstellensatz.
Math. Oper. Res., May, 2023

Sum of Squares Decompositions of Polynomials over their Gradient Ideals with Rational Coefficients.
SIAM J. Optim., March, 2023

SONC optimization and exact nonnegativity certificates via second-order cone programming.
J. Symb. Comput., 2023

Revisiting Semidefinite Programming Approaches to Options Pricing: Complexity and Computational Perspectives.
INFORMS J. Comput., 2023

Local Lipschitz Constant Computation of ReLU-FNNs: Upper Bound Computation with Exactness Verification.
CoRR, 2023

Convergence rates for sums-of-squares hierarchies with correlative sparsity.
CoRR, 2023

Pourchet's theorem in action: decomposing univariate nonnegative polynomials as sums of five squares.
Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation, 2023

Peak Estimation of Time Delay Systems Using Occupation Measures.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Sparse Polynomial Optimization - Theory and Practice
Series on Optimization and its Applications 5, WorldScientific, ISBN: 9781800612969, 2023

2022
CS-TSSOS: Correlative and Term Sparsity for Large-Scale Polynomial Optimization.
ACM Trans. Math. Softw., December, 2022

Exploiting Constant Trace Property in Large-scale Polynomial Optimization.
ACM Trans. Math. Softw., December, 2022

Positivity certificates and polynomial optimization on non-compact semialgebraic sets.
Math. Program., 2022

Sparse noncommutative polynomial optimization.
Math. Program., 2022

Exploiting Sparsity in Complex Polynomial Optimization.
J. Optim. Theory Appl., 2022

On the complexity of Putinar-Vasilescu's Positivstellensatz.
J. Complex., 2022

Stability of Linear Systems Under Extended Weakly-Hard Constraints.
IEEE Control. Syst. Lett., 2022

Tractable hierarchies of convex relaxations for polynomial optimization on the nonnegative orthant.
CoRR, 2022

Sparse Polynomial Optimization: Theory and Practice.
CoRR, 2022

A sublevel moment-SOS hierarchy for polynomial optimization.
Comput. Optim. Appl., 2022

Exact SOHS Decompositions of Trigonometric Univariate Polynomials with Gaussian Coefficients.
Proceedings of the ISSAC '22: International Symposium on Symbolic and Algebraic Computation, Villeneuve-d'Ascq, France, July 4, 2022

L2+ Induced Norm Analysis of Continuous-Time LTI Systems Using Positive Filters and Copositive Programming.
Proceedings of the European Control Conference, 2022

2021
Chordal-TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity with Chordal Extension.
SIAM J. Optim., 2021

TSSOS: A Moment-SOS Hierarchy That Exploits Term Sparsity.
SIAM J. Optim., 2021

Minimizing Rational Functions: A Hierarchy of Approximations via Pushforward Measures.
SIAM J. Optim., 2021

On exact Reznick, Hilbert-Artin and Putinar's representations.
J. Symb. Comput., 2021

l2 induced norm analysis of discrete-time LTI systems for nonnegative input signals and its application to stability analysis of recurrent neural networks.
Eur. J. Control, 2021

TSSOS: a Julia library to exploit sparsity for large-scale polynomial optimization.
CoRR, 2021

Exploiting term sparsity in noncommutative polynomial optimization.
Comput. Optim. Appl., 2021

Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Constant Trace Property in Noncommutative Optimization.
Proceedings of the ISSAC '21: International Symposium on Symbolic and Algebraic Computation, 2021

Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

SparseJSR: A Fast Algorithm to Compute Joint Spectral Radius via Sparse SOS Decompositions.
Proceedings of the 2021 American Control Conference, 2021

The quest of modeling, certification and efficiency in polynomial optimization. (La quête de modélisation, de certification et d'efficacité en optimisation polynomiale).
, 2021

2020
Computing the Hausdorff Boundary Measure of Semialgebraic Sets.
SIAM J. Appl. Algebra Geom., 2020

Optimal control of linear PDEs using occupation measures and SDP relaxations.
IMA J. Math. Control. Inf., 2020

Computer-assisted proofs for Lyapunov stability via Sums of Squares certificates and Constructive Analysis.
CoRR, 2020

Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks.
CoRR, 2020

Semialgebraic Optimization for Lipschitz Constants of ReLU Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A second order cone characterization for sums of nonnegative circuits.
Proceedings of the ISSAC '20: International Symposium on Symbolic and Algebraic Computation, 2020

2019
Certified Roundoff Error Bounds Using Bernstein Expansions and Sparse Krivine-Stengle Representations.
IEEE Trans. Computers, 2019

In SDP Relaxations, Inaccurate Solvers Do Robust Optimization.
SIAM J. Optim., 2019

Semidefinite Approximations of Reachable Sets for Discrete-time Polynomial Systems.
SIAM J. Control. Optim., 2019

Algorithms for weighted sum of squares decomposition of non-negative univariate polynomials.
J. Symb. Comput., 2019

Exact Optimization via Sums of Nonnegative Circuits and Sums of AM/GM Exponentials.
CoRR, 2019

Exact Optimization via Sums of Nonnegative Circuits and Arithmetic-geometric-mean-exponentials.
Proceedings of the 2019 on International Symposium on Symbolic and Algebraic Computation, 2019

2018
Interval Enclosures of Upper Bounds of Roundoff Errors Using Semidefinite Programming.
ACM Trans. Math. Softw., 2018

Optimal Data Fitting: A Moment Approach.
SIAM J. Optim., 2018

On Exact Polya, Hilbert-Artin and Putinar's Representations.
CoRR, 2018

Realcertify: a maple package for certifying non-negativity.
ACM Commun. Comput. Algebra, 2018

On Exact Polya and Putinar's Representations.
Proceedings of the 2018 ACM on International Symposium on Symbolic and Algebraic Computation, 2018

Occupation measure methods for modelling and analysis of biological hybrid systems.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2017
Certified Roundoff Error Bounds Using Semidefinite Programming.
ACM Trans. Math. Softw., 2017

Occupation measure methods for modelling and analysis of biological hybrid automata.
CoRR, 2017

Algorithms for Weighted Sums of Squares Decomposition of Non-negative Univariate Polynomials.
CoRR, 2017

2016
Certified Lower Bounds of Roundoff Errors using Semidefinite Programming.
CoRR, 2016

2015
Semidefinite Approximations of Projections and Polynomial Images of SemiAlgebraic Sets.
SIAM J. Optim., 2015

Error bounds for polynomial optimization over the hypercube using putinar type representations.
Optim. Lett., 2015

Certification of real inequalities: templates and sums of squares.
Math. Program., 2015

Formal Proofs for Nonlinear Optimization.
J. Formaliz. Reason., 2015

A formal proof of the Kepler conjecture.
CoRR, 2015

A Sums-of-Squares Extension of Policy Iterations.
CoRR, 2015

Property-based Polynomial Invariant Generation Using Sums-of-Squares Optimization.
Proceedings of the Static Analysis - 22nd International Symposium, 2015

2014
Approximating Pareto curves using semidefinite relaxations.
Oper. Res. Lett., 2014

Polynomial Template Generation using Sum-of-Squares Programming.
CoRR, 2014

NLCertify: A Tool for Formal Nonlinear Optimization.
Proceedings of the Mathematical Software - ICMS 2014, 2014

2013
Formal Proofs for Global Optimization - Templates and Sums of Squares. (Preuves formelles pour l'optimisation globale - Méthodes de gabarits et sommes de carrés).
PhD thesis, 2013

Certification of Bounds of Non-linear Functions: The Templates Method.
Proceedings of the Intelligent Computer Mathematics, 2013

Certification of inequalities involving transcendental functions: Combining SDP and max-plus approximation.
Proceedings of the 12th European Control Conference, 2013


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