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Papers matching “nonlinear approximation” 24

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Period tripling due to Josephson parametric down-conversion beyond the rotating-wave approximation
2022 Physical review. B./Physical review. B article Computer Science Quantum Information and Cryptography Open access

Lisa Arndt, Fabian Hassler

4

citations
A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control
2024 Dynamic Games and Applications article Computer Science Adaptive Dynamic Programming Control Open access

Mathias Oster, Luca Saluzzi, Tizian Wenzel

2

citations
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Mathias Oster, Luca Saluzzi, Tizian Wenzel

1

citations
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

2

citations
Constrained Consensus-Based Optimization
2023 SIAM Journal on Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

32

citations
Constrained consensus-based optimization
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

0

citations
GDP-Driven Structural and Dynamical Heterogeneity in the Synchronization of Chaotic Macroeconomic Networks
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Thierry Njougouo, Fernando F. Ferreira, Diego Garlaschelli

0

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2025 European Control Conference (ECC) conference-paper Computer Science Robotic Path Planning Algorithms Open access

Jianye Xu, Bassam Alrifaee

0

citations
Dynamics of curved travelling fronts for the discrete Allen-Cahn equation on a two-dimensional lattice
2020 Discrete and Continuous Dynamical Systems article Computer Science Nonlinear Dynamics and Pattern Formation Open access

Mia Jukić, Hermen Jan Hupkes

1

citations
Dual phase‐field model for immiscible fluid flow through fractured unsaturated porous media
2024 PAMM article Computer Science Advanced Mathematical Modeling in Engineering Open access

Yousef Heider, Bernd A. Markert

3

citations
Higher-order finite elements for embedded simulation
2020 ACM Transactions on Graphics article Computer Science Computer Graphics and Visualization Techniques

Andreas Longva, Fabian Löschner, Tassilo Kugelstadt, José Antonio Fernández-Fernández, Jan Bender

21

citations
Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations
2023 IEEE International Conference on Quantum Computing and Engineering (QCE) conference-paper Computer Science Quantum Computing Algorithms and Architecture Open access

Alice Barthe, Michele Grossi, Vedran Dunjko

4

citations
Equation Discovery for Classification: Finding Interpretable Symbolic Specifications of the Decision Boundary
2026 Machine Learning article Computer Science Evolutionary Algorithms and Applications Open access

Godfried Toussaint, Arno Knobbe

0

citations
When could NISQ algorithms start to create value in discrete manufacturing ?
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Oxana Shaya

0

citations
Compatibility of Higher-Order Slow-Manifold Reduction and Continuum Limits in Adaptive Networks
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Christian Kuehn, Fergal Murphy, Jan-Eric Sulzbach

0

citations
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
2026 arXiv (Cornell University) preprint Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Yanjun Ji, Dennis Willsch, Orkun Şensebat, Priyanka Arkalgud Ganeshamurthy, Zhi Pei, M. Sahnawaz Alam, +5 more

0

citations
Data variability in neural network Bayesian inference
2025 Physical Review Research article Computer Science Gaussian Processes and Bayesian Inference Open access

Michael Krämer

0

citations
Random Projections for Multi-Copy Quantum Algorithms
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Xiaoyu Liu, Jordi Tura, Johannes Knörzer

0

citations
Local, Global And Scale-Dependent Node Roles
2021 conference-paper Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Michael T. Schaub

3

citations
Prioritized Trajectory Planning for Networked Vehicles Using Motion Primitives
2024 Springer eBooks book-chapter Computer Science Robotic Path Planning Algorithms Open access

Patrick Scheffe, Matheus V. A. Pedrosa, Kathrin Flaßkamp, Bassam Alrifaee

0

citations
Stochastic Gradient Descent with Momentum: Analysis and Synthesis via Integral Quadratic Constraints
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

0

citations

24 results