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Papers matching “adaptive kernel” 31

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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

14

citations
Scalable Signature Kernel Computations for Long Time Series via Local Neumann Series Expansions
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Matthew Tamayo-Rios, Rima Alaifari

1

citations
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
2025 JuSER (Forschungszentrum Jülich) conference-paper Computer Science Neural Networks and Applications Open access

Noa Rubin, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, +1 more

14

citations
On the implementation and execution of adaptive streaming applications modeled as MADF
2020 International Workshop on Software and Compilers for Embedded Systems (SCOPES) conference-paper Computer Science Real-Time Systems Scheduling Open access

Sobhan Niknam, Peng Wang, Todor P. Stefanov

0

citations
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) conference-paper Computer Science Medical Image Segmentation Techniques cited by 1 patent

Reza Azad, Leon Niggemeier, Michael Hüttemann, Amirhossein Kazerouni, Ehsan Khodapanah Aghdam, Yury Velichko, +2 more

248

citations
Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel?
2021 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Botond Szabó

18

citations
Lecture notes: From Gaussian processes to feature learning
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Moritz Helias, Javed Lindner, Lars Schutzeichel, Zohar Ringel

2

citations
Unsupervised Discretization by Two-dimensional MDL-based Histogram
2020 arXiv (Cornell University) preprint Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

2

citations
Computational challenges in materials science
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Matrix Theory and Algorithms Open access

Jan Winkelmann

0

citations
High-Configurability for Operating Systems
2024 RoEduNet Conference: Networking in Education and Research (RoEduNet) conference-paper Computer Science Advanced Software Engineering Methodologies

Tiberiu Deak, Razvan adrian Deaconescu, M. Kröning, Antonello Monti

0

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
YDANet: Leveraging YCbCr Color Space and Dual-Path Attention Network for Depth Completion
2026 International Conference on Multimedia Retrieval conference-paper Computer Science Advanced Vision and Imaging Open access

Jun Liu, Guoqiang Xiao, Michael S. Lew, Song Wu

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

8

citations
Adaptation Using Spatially Distributed Gaussian Processes
2025 Journal of the American Statistical Association article Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

5

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
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

6

citations
Portable to Efficient: Auto-Tuning Hardware-Agnostic GPU Kernels in Julia
2026 International Conference on Parallel Processing Workshops (ICPPW) conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Evelyne Ringoot, Alan S. Edelman

0

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
Constraint-aware Optimization in Auto-Tuning
2026 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort, Ben van Werkhoven

0

citations
Lower Bounds for Conjunctive and Disjunctive Turing Kernels
2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Graph Theory Research Open access

Elisabet Burjons, Peter Rossmanith

0

citations
Error Sampling and Synthesis for High-Order Node Movement
2025 AIAA SciTech Forum conference-paper Computer Science Computational Geometry and Mesh Generation

Devina P. Sanjaya, Ajay Mandyam Rangarajan, Carl F. Ollivier Gooch

2

citations
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems
2026 RWTH Publications (RWTH Aachen) article Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein, Antonello Monti, +1 more

0

citations
Quantum-Assisted Multi-Output Gaussian Processes for Line Parameter Estimation in Power Systems
2026 IEEE Access article Computer Science Quantum Computing Algorithms and Architecture Open access

Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein, Antonello Monti, +1 more

0

citations
Unsupervised discretization by two-dimensional MDL-based histogram
2023 Machine Learning article Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

4

citations