From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “function approximation” 172

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Cascade position- torque control strategy based on function approximation technique (FAT) for flexible joint robots
2021 Research Square preprint Engineering Adaptive Control of Nonlinear Systems Open access

Hayder F. N. Al-Shuka, Burkhard J. Corves, Ehab N. Abbas

0

citations
Cascade position- torque control strategy based on function approximation technique (FAT) for flexible joint robots
2021 Research Square preprint Engineering Adaptive Control of Nonlinear Systems Open access

Hayder F. N. Al-Shuka, Burkhard J. Corves, Ehab N. Abbas

0

citations
Automatic nonlinear MPC approximation with closed-loop guarantees
2023 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Abdullah Tokmak, Christian Fiedler, Melanie N. Zeilinger, Sebastian Trimpe, Johannes Köhler

1

citations
Rational approximation with generalised $α$-Lüroth expansions
2023 arXiv (Cornell University) preprint Mathematics Mathematical Dynamics and Fractals Open access

Yan Huang, Charlene Kalle

0

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
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
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Clément Scherding, Denis Sipp, Peter J. Schmid, Taraneh Sayadi

3

citations
Polynomial Approximation of Symmetric Functions
2021 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Markus Bachmayr, Geneviève Dusson, Christoph Ortner, Jack Thomas

0

citations
Uniform approximation of vectors using adaptive randomized information
2024 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Robert J. Kunsch

1

citations
Deep kernel video approximation for unsupervised action segmentation
2026 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Silvia L. Pintea, Jouke Dijkstra

0

citations
Deep kernel video approximation for unsupervised action segmentation
2026 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Silvia L. Pintea, Jouke Dijkstra

0

citations
Sharp bounds for non-adaptive randomized approximation of high-dimensional noisy vectors
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Robert J. Kunsch, Marcin Wnuk

0

citations
Accurate and efficient approximation of large-scale appointment schedules
2023 arXiv (Cornell University) preprint Health Professions Healthcare Operations and Scheduling Optimization Open access

René Bekker, Bharti Bharti, Michel Mandjes

0

citations
Liver and kidney function in patients with Covid-19 treated with remdesivir
2021 preprint Medicine COVID-19 Clinical Research Studies Open access

Sylvia A. van Laar, Mark G. J. de Boer, Kim B. Gombert‐Handoko, Henk‐Jan Guchelaar, J. Zwaveling

7

citations
Improving Molecule-Metal Surface Reaction Networks Using the Meta-Generalized Gradient Approximation: CO2 Hydrogenation
2023 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Yuxiang Cai, Roel Michiels, Federica De Luca, Erik Cornelis Neyts, Xin Cheng Tu, Annemie Bogaerts, +1 more

2

citations
Improving Molecule-Metal Surface Reaction Networks Using the Meta-Generalized Gradient Approximation: CO2 Hydrogenation
2023 ChemRxiv preprint Physics and Astronomy Advanced Chemical Physics Studies Open access

Yuxiang Cai, Roel Michiels, Federica De Luca, Erik Cornelis Neyts, Xin Cheng Tu, Annemie Bogaerts, +1 more

1

citations
Euclid preparation. Three-dimensional galaxy clustering in configuration space: Three-point correlation function estimation
2026 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Euclid Collaboration, Alfonso Veropalumbo, M. Moresco, F. Marulli, E. Branchini, M Guidi, +94 more

0

citations
Optimal approximation spaces for discontinuous Petrov-Galerkin finite element methods
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Ankit Chakraborty, Ajay Mandyam Rangarajan, Georg May

3

citations
Core mass function in view of fractal and turbulent filaments and fibers
2025 arXiv (Cornell University) preprint Physics and Astronomy Astrophysics and Star Formation Studies Open access

Xunchuan Liu, Tie Liu, Xiaofeng Mai, Yu Jian Cheng, Sihan Jiao, Wenyu Jiao, +2 more

0

citations
Clarifying transfer function approximations for the large-scale gravitational wave background in $\Lambda$CDM
2021 arXiv (Cornell University) preprint Physics and Astronomy Cosmology and Gravitation Theories Open access

Thomas Kite, Jens Chluba, Andrea Ravenni, Subodh P. Patil

1

citations
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe

0

citations
Randomized least-squares with minimal oversampling and interpolation in general spaces
2023 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Abdellah Chkifa, Matthieu Dolbeault

1

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
Linking Network and Neuron-level Correlations by Renormalized Field Theory
2023 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access

Michael J. Dick, Alexander van Meegen, Moritz Helias

0

citations
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions -- Low-Rank Tensor Approximations
2021 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Alexander Litvinenko, Youssef Marzouk, Hermann Georg Matthies, Marco Scavino, Alessio Spantini

0

citations