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Papers matching “dimension dependence” 41

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Convergence guarantees for forward gradient descent in the linear regression model
2024 Journal of Statistical Planning and Inference article Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

0

citations
Exploiting Structure with Anisotropic Consensus-Based Optimization
2026 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
The impact of dimensionality on the stability of node embeddings
2026 Applied Network Science article Computer Science Advanced Graph Neural Networks Open access

Tobias Schumacher, Simon Reichelt, Markus Strohmaier

0

citations
Interpretable compositional computation with recurrent neural networks
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Neural Networks and Applications Open access

Louis Pezon, Alexander van Meegen

1

citations
Matrix-Valued LogSumExp Approximation for Colour Morphology
2025 Journal of Mathematical Imaging and Vision article Computer Science Digital Image Processing Techniques Open access

Marvin Kahra, Michael Breuß, Andreas Kleefeld, Martin Welk

0

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
Transmitting algebras through quantum channels
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Satvik Singh

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
Fehlerquellen beim fachspezifischen Lesen im Informatikunterricht: Analyse von Schwierigkeiten von Schüler:innen beim Lesen und Interpretieren grafischer Darstellungen von Algorithmen am Beispiel von ikonischen Darstellungen und Programmablaufplänen
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Teaching and Learning Programming Open access

Jacqueline Anthes

0

citations
Reimagining third places: the role of GenAI robots in shaping interaction and trust in a polarized society
2025 Journal of Services Marketing article Computer Science AI in Service Interactions

Stefanie Paluch, Jochen Wirtz, Valentina Pitardi, Werner H. Kunz

2

citations
Quantum Log-Determinant Methods for Torsion-Sensitive Topological Data Analysis
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dimitrios Thanos, Caesnan M. G. Leditto, Adam Wesołowski, Andreea-Iulia Lefterovici, Mahtab Yaghubi Rad

0

citations
bioacoustic-ai/bacpipe: BacPipe v1.3.4 Release Notes
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Music and Audio Processing Open access

Vincent S. Kather, Sylvain Haupert, Clea Parcerisas, Santiago Martínez Balvanera, Ines Nolasco, Ben, +2 more

0

citations
bioacoustic-ai/bacpipe: BacPipe v1.3.4 Release Notes
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Music and Audio Processing Open access

Vincent S. Kather, Sylvain Haupert, Clea Parcerisas, Santiago Martínez Balvanera, Inês Nolasco, Ben, +2 more

0

citations
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization - Reproducibility Repository
2023 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovič, Ana Nikolikj, Urban Škvorc, +3 more

0

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2025 SIAM Journal on Mathematics of Data Science article Computer Science Neural Networks and Applications Open access

Semih Çaycı, Atilla Eryılmaz

1

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Fixed points in de Finetti hierarchies
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Gereon Koßmann, Julius A. Zeiss

0

citations
Diffusion and Flow Matching Models for Tabular Data: A Survey
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Zhong Li, Qi Huang, Lincen Yang, Yang Zhao, Bas van Stein, Thomas Bäck, +1 more

0

citations
Multi-Dimensional Context-Oriented Programming with a Lightweight Domain Specific Language
2026 ACM SIGPLAN International Conference on Software Language Engineering (SLE) conference-paper Computer Science Advanced Software Engineering Methodologies Open access

Christian Gutsche, Sebastian Götz, Uwe Aßmann

0

citations
A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction
2022 IEEE Access article Computer Science Explainable Artificial Intelligence (XAI) Open access

Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek J. Bouman, Roeland C. H. J. van Ham, Thomas Bäck

61

citations
Easy-read and large language models: on the ethical dimensions of LLM-based text simplification
2024 Ethics and Information Technology article Computer Science Text Readability and Simplification Open access

Nils Freyer, Hendrik Kempt, Lars Klöser

19

citations
Binary Interaction Methods for High Dimensional Global Optimization and Machine Learning
2022 Applied Mathematics & Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Alessandro Benfenati, Giacomo Borghi, Lorenzo Pareschi

17

citations
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks
2024 Evolutionary Computation article Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov

6

citations
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof

5

citations
Quantum generative modeling for financial time series with temporal correlations
2026 Machine Learning Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

David Dechant, Eliot Schwander, Lucas Van Drooge, Charles Moussa, Diego Garlaschelli, Vedran Dunjko, +1 more

3

citations