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Panagiotis Patrinos

Professor

KU Leuven

Belgium

Research Interests

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Articles (20)

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2026

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2024

Collaborators (10)

Fateme Nateghi Haredasht

Stanford University

UNITED STATES

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Rodolphe Sepulchre

Professsor of Engineering

KU Leuven

BELGIUM

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Johan Suykens

Full Professor

KU Leuven

BELGIUM

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Puya Latafat

Assistant Professor

IMT School for Advanced Studies Lucca

ITALY

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Jonathan H. Chen

Assistant Professor

Stanford University School of Medicine

UNITED STATES

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Sabine Van Huffel

Professor

KU Leuven

BELGIUM

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Marc Moonen

Full Professor

KU Leuven

BELGIUM

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Andreas Themelis

Associate professor

Kyushu University

JAPAN

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Ivan Markovsky

ICREA professor

International Center for Numerical Methods in Engineering

SPAIN

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Konstantinos A. Oikonomidis

National Technical University of Athens

GREECE

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Panagiotis Patrinos

Research Interests

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Articles (20)

Quantization-aware matrix factorization for low bit rate image compression

Scaled relative graphs for pairs of operators beyond classical monotonicity

Fast data-driven iterative learning control for linear system with output disturbance

Exact worst-case convergence rates of gradient descent: a complete analysis for all constant stepsizes over nonconvex and convex functions

A localized consensus-based sampling algorithm

A Deep Learning-Based Resource Allocator for Communication Networks With Dynamic User Utility Demands

Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems

Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient

Scaled relative graphs for nonmonotone operators with applications in circuit theory

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity

Learning-Based NMPC Adaptation for Autonomous Driving Using Parallelized Digital Twin

Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees

Risk-Sensitive Model Predictive Control for Interaction-Aware Planning–A Sequential Convexification Algorithm

Federated Learning Under a Digital Communication Model

Deep Kernel Principal Component Analysis for multi-level feature learning

Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise

A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning With a Use-Case in Resource Allocation in Communication Networks

QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control

Collaborators (10)

Fateme Nateghi Haredasht

Rodolphe Sepulchre

Johan Suykens

Puya Latafat

Jonathan H. Chen

Sabine Van Huffel

Marc Moonen

Andreas Themelis

Ivan Markovsky

Konstantinos A. Oikonomidis

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