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turnpike property

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Large-time asymptotics in deep learning

Tags: deep learning, Neural ODEs, optimal control, Residual Neural Networks, Supervised Learning, turnpike property
C. Esteve, B. Geshkovski, D. Pighin, E. Zuazua (2025) Large-time asymptotics in deep learning, https://hal.archives-ouvertes.fr/hal-02912516 Abstract. We consider the neural ODE perspective of supervised learning and study the impact of the…
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Slow decay and Turnpike for Infinite-horizon Hyperbolic LQ problems

Tags: optimal control problems, Riccati operator, slow decay rate, turnpike property, weak controllability and observability
Zhong-Jie Han, E. Zuazua, Slow decay and Turnpike for Infinite-horizon Hyperbolic LQ problems (2022) SIAM J. Control Optim. Vol. 60, No. 4, pp. 2440-2468. https://dx.doi.org/10.1137/21M1441985 Abstract: This paper is devoted…
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Turnpike Control and Deep Learning by Enrique Zuazua at IITK

Turnpike Control and Deep Learning by Enrique Zuazua at IITK

Tags: deep learning, Neural ODEs, optimal control, Residual Neural Networks, Supervised Learning, turnpike property
Worldwide. 08.09.2020. Yesterday, our Head Enrique Zuazua gave a talk about "Turnpike Control and Deep Learning" hosted by IITK - Indian Institute of Technology, Kampur in collaboration with IISER-Kolkata, IISER-Pune,…
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Turnpike Control and Deep Learning at IITK by E. Zuazua

Turnpike Control and Deep Learning at IITK by E. Zuazua

Next tuesday September 8th, our Head Enrique Zuazua will present "Turnpike Control and Deep Learning" on the IITK research seminars organized by IITK- Indian Institute of Technology, Kanpur in collaboration with…
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Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems

Turnpike Control and Deep Learning – Fields Institute 2nd Simposium on Machine Learning and Dynamical Systems

Tags: deep learning, Neural ODEs, optimal control, Residual Neural Networks, Supervised Learning, turnpike property
Worldwide. 01.09.2020. The Fields Institute for Research in Mathematical Sciences at the University of Toronto, Canada organized the Second Simposium on Machine Learning and Dynamical Systems on September 21st to…
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The turnpike property in nonlinear optimal control – A geometric approach

Tags: dynamical system theory, general dynamical systems, geometric approach, nonlinear optimal control, optimal control problems, turnpike property, turnpike-like property
N. Sakamoto, D. Pighin, E. Zuazua The turnpike property in nonlinear optimal control - A geometric approach. IEEE 58th Conference on Decision and Control (CDC) (2020). DOI: 10.1109/CDC40024.2019.9028863 Abstract: This paper…
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Last Publications

Clustering in Pure-Attention Hardmax Transformers and its Role in Sentiment Analysis

A potential game perspective in Federated Learning

Regional and Partial Observability and Control of Waves

Cluster-based classification with neural ODEs via control

Optimal convergence rates for the finite element approximation of the Sobolev constant

  • DeustoCCM Seminar: Universal approximation and convexified training in neural networks
  • Collaboration meeting with CIC bioGUNE (June 9, 2025)
  • Clustering in Pure-Attention Hardmax Transformers and its Role in Sentiment Analysis
  • DeustoCCM Seminar: Soluciones de viscosidad: Teoría y aplicaciones
  • DeustoCCM Seminar by R. Lecaros and J. Lopez
Copyright 2016 - 2025 — cmc.deusto.eus. All rights reserved. Chair of Computational Mathematics, Deusto Foundation - University of Deusto
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