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Papers matching “kernel functions” 47

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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
From discrete to continuous variable systems via Jordan–Schwinger tomographic transformation
2026 Annals of Physics article Computer Science Quantum Information and Cryptography Open access

Liubov A. Markovich, Alexey N. Rubtsov, Vladimir I. Man’ko

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
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
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

0

citations
Virtual Platform Acceleration through Userspace Host Execution
2022 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Embedded Systems Design Techniques

Lukas Jünger, Antonios Salios, Peter Blocher, Rainer Leupers

0

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

Jan Winkelmann

0

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
2024 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

18

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 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

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

7

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
Evaluating the Performance of OpenMP Offloading on the NEC SX-Aurora TSUBASA Vector Engine
2021 Supercomputing Frontiers and Innovations article Computer Science Parallel Computing and Optimization Techniques Open access

Tim Cramer

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
H2M: Exploiting Heterogeneous Shared Memory Architectures
2023 Future Generation Computer Systems article Computer Science Parallel Computing and Optimization Techniques Open access

Jannis Klinkenberg, Anara Kozhokanova, Christian Terboven, Clément Foyer, Brice Goglin, Emmanuel Jeannot

5

citations
Dissecting the Performance Impact of System Calls
2026 Workshop on Programming Languages and Operating Systems (PLOS) conference-paper Computer Science Security and Verification in Computing Open access

M. Kröning, Vincent Feinendegen, Stefan Lankes, Sarah Simon, Jonathan Klimt, Antonello Monti

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
Performance Portable Adjoints for Structured Mesh Applications with OPS
2026 ACM Transactions on Mathematical Software article Computer Science Parallel Computing and Optimization Techniques Open access

Gábor Dániel Balogh, Johannes Lotz, Jacques du Toit, Uwe Naumann, István Z. Reguly

0

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