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Papers matching “matching algorithms” 99

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Iterated Population Based Training with Task-Agnostic Restarts
2025 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Learned denoising with simulated and experimental low-dose CT data
2025 Scientific Reports article Computer Science Image and Signal Denoising Methods Open access

Maximilian B. Kiss, Ander Biguri, Carola‐Bibiane Schönlieb, K. Joost Batenburg, Felix F. Lucka

0

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
Stochastic Games with Lexicographic Reachability-Safety Objectives
2020 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification Open access

Krishnendu Chatterjee, Joost-Pieter Katoen, Maximilian Weininger, Tobias Winkler

20

citations
State of the Art Cell Detection in Bone Marrow Whole Slide Images
2021 Journal of Pathology Informatics article Computer Science Digital Imaging for Blood Diseases Open access

Philipp Gräbel, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, Peter Boor, +2 more

7

citations
Order Optimal Bounds for One-Shot Federated Learning Over Non-Convex Loss Functions
2023 IEEE Transactions on Information Theory article Computer Science Privacy-Preserving Technologies in Data

Arsalan Sharifnassab, Saber Salehkaleybar, S. Jamaloddin Golestani

2

citations
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification
2021 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks Open access

Ruud van Bakel, Teodor Ivanov Aleksiev, Daniel Daza, Dimitrios Alivanistos, Michael Cochez

1

citations
Fuzzy k-anonymity in complex networks
2026 Scientific Reports article Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
Fuzzy k-anonymity in complex networks
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

citations
Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran

0

citations
Fuzzy k-anonymity in complex networks
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
Graph Neural Networks for Maximum Constraint Satisfaction
2021 Frontiers in Artificial Intelligence article Computer Science Constraint Satisfaction and Optimization Open access

Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe

37

citations
Automatic Generation of Efficient Linear Algebra Programs
2020 Platform for Advanced Scientific Computing Conference (PASC) conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Christos Psarras

7

citations
One-Shot Multiple Access Channel Simulation
2024 IEEE International Symposium on Information Theory (ISIT) conference-paper Computer Science Quantum Information and Cryptography

Aditya Nema, Sreejith Sreekumar, Mario Berta

5

citations
L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning
2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection cited by 1 patent

Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yan Li, Chang Liu

4

citations
MUSE: A Trustworthy Vertical Federated Feature Selection Framework
2024 IEEE Transactions on Computational Social Systems article Computer Science Privacy-Preserving Technologies in Data

Xinyuan Ji, Chenfei Wang, Olga Gadyatskaya, Fei Zhao, Wei Xi

3

citations
Structural Node Embeddings with Homomorphism Counts
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Hinrikus Wolf, Luca Oeljeklaus, Pascal Kühner, Martin Grohe

1

citations
Dispersing Obnoxious Facilities on Graphs by Rounding Distances
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Tim A. Hartmann, Stefan Lendl

1

citations
Pooled two-cohort MRI body composition phenotyping with open-source deep learning
2026 Communications Medicine article Computer Science Medical Image Segmentation Techniques Open access

Christian J. Mertens, Hartmut Häntze, Sebastian Ziegelmayer, Jakob Nikolas Kather, Daniel Truhn, Su Hwan Kim, +30 more

0

citations
pytroll/satpy: Version 0.60.0 (2026/03/04)
2026 Zenodo (CERN European Organization for Nuclear Research) software Computer Science Computational Physics and Python Applications Open access

Martin Raspaud, David Hoese, Gerrit Holl, Simon Proud, Stephan Finkensieper, Andrea Meraner, +21 more

0

citations
One-Shot Multiple Access Channel Simulation
2026 IEEE Transactions on Information Theory article Computer Science Quantum Information and Cryptography Open access

Aditya Nema, Sreejith Sreekumar, Mario Berta

0

citations
Tree coloring with predictions
2025 Discrete Applied Mathematics article Computer Science Optimization and Search Problems Open access

Fabian Frei, Matthias Gehnen, Dennis Komm, Rastislav Kráľovič, Peter Rossmanith, Moritz Stocker

0

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

0

citations