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Papers matching “kernel functions” 21

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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
Points of non-linearity of functions generated by random neural networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

0

citations
Unfolding recurrence by Green's functions for optimized reservoir computing
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias

0

citations
On genetic programming representations and fitness functions for interpretable dimensionality reduction
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Thomas Uriot, Marco Virgolin, Tanja Alderliesten, Peter A. N. Bosman

3

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
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Susanne Pielawa, Hao Wang, Vedran Dunjko

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Critical feature learning in deep neural networks
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Zohar Ringel, M. Krämer, Moritz Helias

0

citations
Convolutional Neural Networks as 2-D systems
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dennis Gramlich, Patricia Pauli, Carsten W. Scherer, Frank Allgöwer, Christian Ebenbauer

3

citations
A unified weighting framework for evaluating nearest neighbour classification
2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Oliver Urs Lenz, Henri Bollaert, Chris Cornelis

0

citations
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

1

citations
On Foundation Models for Dynamical Systems from Purely Synthetic Data
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrés Felipe Posada-Moreno, Friedrich Solowjow, Sebastian Trimpe

1

citations
Adaptation using spatially distributed Gaussian Processes
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Tammo Hesselink, Botond Szabó

3

citations
Conditional Density Estimation with Histogram Trees
2024 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Matthijs van Leeuwen

0

citations
On the expressivity of embedding quantum kernels
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

0

citations
Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

2

citations
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Kevin Shen, Susanne Pielawa, Vedran Dunjko, Hao Wang

0

citations
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh

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

21 results