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Papers matching “adaptive kernel” 10

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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
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
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
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
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
A survey of deep learning in image processing: developments, applications and challenges
2026 Artificial Intelligence Review article Computer Science Advanced Neural Network Applications Open access

Zhan Xiong, Xiaoqin Tang, Fons J. Verbeek

0

citations
A methodology for comparing optimization algorithms for auto-tuning
2024 Future Generation Computer Systems article Computer Science Parallel Computing and Optimization Techniques Open access

Floris-Jan Willemsen, Richard Schoonhoven, Jiří Filipovič, Jacob O. Tørring, Rob V. van Nieuwpoort, Ben van Werkhoven

11

citations
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model
2026 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Advanced Graph Neural Networks Open access

Yixin Peng, Diego Collarana, 金儿, Stefan Decker

0

citations

10 results