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Papers matching “dimension dependence” 17

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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
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
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
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
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
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
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
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
Metrics That Matter: A Practical Survey on Tabular Synthetic Data Evaluation
2026 preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jim L. Achterberg, Saif ul Islam, Gregory Epiphaniou, Carsten Maple, M. Haas, Marco René Spruit

1

citations
A Comparison of Global Sensitivity Analysis Methods for Explainable AI with an Application in Genomic Prediction
2022 preprint 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

1

citations
Constant-time equilibration of observables under rapid Lindbladian dynamics
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Štěpán Šmíd, Richard Meister, Mario Berta, Roberto Bondesan

0

citations
Quantum channel coding: Approximation algorithms and strong converse exponents
2024 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Aadil Oufkir, Mario Berta

0

citations
Polynomial Time Quantum Gibbs Sampling for Fermi-Hubbard Model at any Temperature
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Štěpán Šmíd, Richard J. Meister, Mario Berta, Roberto Bondesan

0

citations
Separating Geometry From Interference in Constrained Quantum Optimization
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Chinonso Onah, Stuart Hadfield, Kristel F. L. Michielsen

0

citations
Constructing far-from-equilibrium patterns in a cross-diffusion vegetation-autotoxicity model
2026 arXiv (Cornell University) preprint Computer Science Nonlinear Dynamics and Pattern Formation Open access

Annalisa Iuorio, Cinzia Soresina, Frits Veerman

0

citations
Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples
2021 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Christian Fiedler, Massimo Fornasier, Timo Klock, Michael Rauchensteiner

0

citations

17 results