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Researcher
Panos Patrinos
- Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Control systems, robotics and automation, Modelling, Design theories and methods, Mechatronics and robotics, Biological system engineering, Computer theory, Signal processing
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → Today - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From1 Sep 2015 → 31 Jul 2020
Projects
11 - 20 of 35
- Signal-representation techniques as inspiration for designing optimization algorithms.From1 Oct 2021 → 30 Sep 2022Funding: BOF - postdoctoral mandates
- Efficient Algorithms for Large-Scale Minimax ProblemsFrom1 Oct 2021 → TodayFunding: FWO junior postdoctoral fellowship
- Engineering of slags and residues and development of alkali-activated binders and blended cements for construction applications by means of high-throughput experimentationFrom29 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Numerical optimization algorithms for large-scale problems in machine learning and controlFrom21 Sep 2021 → TodayFunding: FWO fellowships
- Embedded Learning and Optimization for Interaction-aware MPCFrom24 Aug 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Embedded Learning and Optimization for Autonomous Vehicle ControlFrom2 Jun 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Computing the exact performance of black-box optimization methods: an automated tool to improve understanding and design better algorithms.From1 Apr 2021 → TodayFunding: BOF - doctoral mandates
- Computing the exact performance of black-box optimization methods: an automated tool to improve understanding and design better algorithmsFrom24 Mar 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Embedded learning and optimization for the next generation of smart industrial control systemsFrom1 Jan 2021 → TodayFunding: H2020-EU.1.3.- EXCELLEN SCIENCE - Marie Skłodowska-Curie actions
- Structured and low-rank optimization algorithmsFrom8 Oct 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 98
- Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions(2024)
Authors: Susan Ghaderi, Panos Patrinos, Yves Moreau
Pages: 128 - 377 - Deep kernel principal component analysis for multi-level feature learning(2024)
Authors: Panos Patrinos, Johan Suykens
Pages: 578 - 595 - Federated learning under a digital communication model(2024)
Authors: Panos Patrinos, Marc Moonen
Pages: 312 - 320 - Optimization Frameworks for Deep Kernel Machines(2023)
Authors: Francesco Tonin, Johan Suykens, Panos Patrinos
- Distributionally Robust Model Predictive Control for Safety-Critical Systems: with Applications in Autonomous Driving(2023)
Authors: Mathijs Schuurmans, Panos Patrinos
- Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy(2023)
Authors: Emanuel Laude, Panos Patrinos
Pages: 2721 - 2749 - The “Eagle” Approach To Train Electrical Engineers With Collaborative Problem-Solving Skills(2023)
Authors: Merijn Van Deyck, Martijn Deckers, Abdul Saboor, Pouya Mehrjouseresht, Zhenda Zhang, Arne Symons, Alexander Bodard, Marian Verhelst, Alexander Bertrand, Ruth Vazquez Sabariego, et al.
Number of pages: 14 - Model-free decentralized training for deep learning based resource allocation in communication networks(2023)
Authors: Panos Patrinos, Marc Moonen
Pages: 1494 - 1498 - Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control(2023)
Authors: Pieter Pas, Andreas Themelis, Panos Patrinos
Pages: 4852 - 4857 - SPOCK : A proximal method for multistage risk-averse optimal control problems(2023)
Authors: Alexander Bodard, Mathijs Schuurmans, Panos Patrinos
Pages: 1944 - 1954