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Papers matching “vector spaces” 46

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Optimized feature space learning for generating efficient binary codes for image retrieval
2021 Signal Processing Image Communication article Computer Science Advanced Image and Video Retrieval Techniques Open access

Abin Jose, Erik Stefan Ottlik, Christian Rohlfing, Jens-Rainer Ohm

8

citations
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann

6

citations
Complex Bounded Operators in Isabelle/HOL
2025 arXiv (Cornell University) preprint Computer Science Logic, programming, and type systems Open access

Dominique Unruh, José Manuel Rodríguez Caballero

0

citations
Tower field support for synthesis of datapaths
2023 ACM International Conference on Computing Frontiers (CF) conference-paper Computer Science Cryptography and Residue Arithmetic Open access

Nuša Zidarič, Mark D. Aagaard

2

citations
Selecting Walk Schemes for Database Embedding
2023 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Advanced Graph Neural Networks Open access

Yuval Lev Lubarsky, Jan Tönshof, Martin Grohe, Benny Kimelfeld

1

citations
Statistical Learning Theory for Distributional Classification
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Algorithms Open access

Christian Fiedler

0

citations
On kernel-based statistical learning in the mean field limit
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Machine Learning and Algorithms Open access

Christian Fiedler, Michaël Herty, Sebastian Trimpe

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
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
Invariant zero sets for first and second order nonlinear ODE systems
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Polynomial and algebraic computation Open access

Melanie Harms

0

citations
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
2020 arXiv (Cornell University) software-paper Computer Science Topological and Geometric Data Analysis Open access

Nina Miolane, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, +12 more

95

citations
A Flexible Framework for Expectation Maximization-Based MIMO System Identification for Time-Variant Linear Acoustic Systems
2023 IEEE Open Journal of Signal Processing article Computer Science Speech and Audio Processing Open access

Tobias Kabzinski, Peter Jax

3

citations
Enhancing full-system simulation: techniques for maximizing performance and accuracy
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Parallel Computing and Optimization Techniques Open access

0

citations
How to use a CAS for Hardware Design Automation
2023 ACM communications in computer algebra article Computer Science Cryptography and Residue Arithmetic Open access

Nuša Zidarič

0

citations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart

1

citations
The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems
2022 Preprints.org preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

4

citations
The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems
2023 Mathematical and Computational Applications article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hao Wang, Michael Emmerich, Andre H. Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

3

citations
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Andre H. Deutz, Michael Emmerich, Hao Wang

0

citations
Torus embeddings
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Dan Stowell

0

citations
Ellipsoidal embeddings of graphs
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

0

citations
Ellipsoidal Embeddings of Graphs
2025 SIAM Journal on Applied Mathematics article Computer Science Advanced Graph Neural Networks Open access

Michaël Fanuel, Antoine Aspeel, Michael T. Schaub, Jean‐Charles Delvenne

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
Outlier Detection for Trajectories via Flow-embeddings
2021 2018 52nd Asilomar Conference on Signals, Systems, and Computers conference-paper Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Jean-Baptiste Seby, Michael T. Schaub

7

citations
Accuracy-Aware Mixed-Precision GPU Auto-Tuning
2026 IEEE Transactions on Parallel and Distributed Systems article Computer Science Parallel Computing and Optimization Techniques Open access

Stijn Heldens, Ben van Werkhoven

2

citations
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek

1

citations