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Papers matching “optimal network structure” 39

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Optimal Structure of Signal Networks for Efficient Information Aggregation
2025 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Bernd Heidergott, Ines Lindner, Azadeh Parvaneh

0

citations
A flow-based ascending auction to compute buyer-optimal Walrasian prices
2023 arXiv (Cornell University) preprint Economics, Econometrics and Finance Game Theory and Voting Systems Open access

Katharina Eickhoff, S. Thomas McCormick, Britta Peis, Niklas Rieken, Laura Vargas Koch

0

citations
New short scale to measure workers’ attitudes toward the implementation of cooperative robots in industrial work settings: Instrument development and exploration of attitude structure
2021 preprint Decision Sciences Technology Adoption and User Behaviour Open access

Benedikt Leichtmann, Johanna Hartung, Oliver Wilhelm, Verena Nitsch

4

citations
Functional Control of Network Dynamical Systems: An Information Theoretic Approach
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural dynamics and brain function

Moirangthem Sailash Singh, Ramkrishna Pasumarthy, Umesh Vaidya, Steffen K. Leonhardt

0

citations
Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics
2026 arXiv (Cornell University) preprint Engineering Soft Robotics and Applications Open access

Jianqiang Wang, Shuaiqun Pan, Álvaro Serra-Gómez, Xiaohan Wei, Yue Hong Xie

0

citations
Nitrogen-Centric Optimization of Polyamide Chemical Recycling: A Reaction Network Flux Analysis with New Metrics for Nitrogen Atom Economy and Nitrogen Footprint
2026 ChemRxiv preprint Materials Science Polymer crystallization and properties Open access

Huiting Yang

0

citations
Modularity maximisation for graphons
2021 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Florian Klimm, Nick S. Jones, Michael T. Schaub

1

citations
Symmetry breaking in minimum dissipation networks
2025 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Aarathi Parameswaran

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Learning General Policies with Policy Gradient Methods
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Optimization of Unmanned Aerial Vehicle Augmented Ultra-Dense Networks
2020 Research Square preprint Engineering UAV Applications and Optimization Open access

Alireza Zamani, Robert Kämmer, Yulin Hu, Anke Schmeink

1

citations
AtlasOT - The Fused Unbalanced Gromov-Wasserstein for Multimodal Integration of Disease Atlases
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Kai Peng, Mayra L. Ruiz Tejada Segura, Barthélémy Caron, Christoph Kuppe, James Shiniti Nagai, Ivan G. Costa

0

citations
Covered Forest: Fine-grained generalization analysis of graph neural networks
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Ben Finkelshtein, Floris Geerts, Ron Levie

0

citations
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
2023 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Michael Scholkemper, Michael T. Schaub

1

citations
Shapley-based Structural Analysis of Neural Calibration for Stochastic Volatility Models
2026 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Shaïn Afzali, Serena Della Corte, Antonis Papapantoleon

0

citations
Graph Distortion Distances, Gromov-Hausdorff and the Hardness of Gromov-Wasserstein
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Jens Breitung, Timo Gervens, Julius Pörzgen

0

citations
Branch-and-price strikes back for the k-vertex cut problem
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Fabio Ciccarelli, Fabio Furini, Christopher Hojny, Marco E. Lübbecke

0

citations
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data
2024 arXiv (Cornell University) preprint Computer Science Semantic Web and Ontologies Open access

Sami Azirar, Hossam A. Gabbar, Chaouki Regoui

0

citations
Graph Exploration with Edge Weight Estimates
2025 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Matthias Gehnen, Ralf Klasing, Émile Naquin

0

citations
Optimization with Trained Machine Learning Models Embedded
2022 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Artur M. Schweidtmann, Dominik Bongartz, Alexander Mitsos

0

citations
Wireless Powered Short Packet Communications with Multiple WPT Sources
2023 arXiv (Cornell University) preprint Engineering Energy Harvesting in Wireless Networks Open access

Ning Guo, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

2

citations
Unfolding recurrence by Green's functions for optimized reservoir computing
2020 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias

0

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective molecular optimization
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David F. Nippa, Kenneth Atz, Yannick Stenzhorn, Alex T. Müller, Andreas Tosstorff, Jörg Benz, +17 more

1

citations
Neural quantum states in condensed matter: advances, best practices, and prospects
2026 arXiv (Cornell University) preprint Physics and Astronomy Quantum many-body systems Open access

Jonas B. Rigo, Björn Jakob Wurst, Rajah P. Nutakki, Markus Schmitt, Dante Marvin Kennes

0

citations