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Papers matching “network inference” 509

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Critical feature learning in deep neural networks
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Javed Lindner, David Dahmen, Zohar Ringel, M. Krämer, Moritz Helias

8

citations
Exact Blind Community Detection From Signals on Multiple Graphs
2020 IEEE Transactions on Signal Processing article Physics and Astronomy Complex Network Analysis Techniques Open access

T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai, Santiago Segarra

20

citations
Reconstructing Disease Histories in Huge Discrete State Spaces
2024 Künstliche Intell. article Computer Science Bayesian Modeling and Causal Inference Open access

Rudolf Schill, Maren Klever, Kevin Rupp, Y. Linda Hu, Peter Georg, Simon Pfahler, +5 more

11

citations
Analysis of a maximum-entropy based estimator for dynamic random graph models
2026 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Diego Garlaschelli, Michel Mandjes, F. P. Pijpers, Jiesen Wang

0

citations
Analysis of a maximum-entropy based estimator for dynamic random graph models
2026 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Diego Garlaschelli, Michel Mandjes, F. P. Pijpers, Jiesen Wang

0

citations
Uncertainty Propagation in Deep Gaussian Process Networks
2025 Mathematical Geosciences article Computer Science Gaussian Processes and Bayesian Inference Open access

Ítalo Gomes Gonçalves, Florian Wellmann

12

citations
Cora Co-Authorship
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Complex Network Analysis Techniques Open access

Computational Network Science

0

citations
Cora Co-Authorship
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Complex Network Analysis Techniques Open access

Computational Network Science

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Cora Co-Authorship
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Complex Network Analysis Techniques Open access

Computational Network Science

0

citations
TarViS: A Unified Approach for Target-Based Video Segmentation
2023 IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings conference-paper Computer Science Advanced Neural Network Applications cited by 1 patent

Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe

38

citations
Performance of Computer Vision Algorithms for Fine‐Grained Classification Using Crowdsourced Insect Images
2025 IET Computer Vision article Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

5

citations
GRINQH: Graded Input-based Quantization Hierarchy for Efficient LLM Generation
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Jette Oberländer, Jan Finkbeiner, Catherine Mia Schöfmann, Emre Neftci

1

citations
AMAIX In-Depth: A Generic Analytical Model for Deep Learning Accelerators
2022 International Journal of Parallel Programming article Computer Science Advanced Neural Network Applications Open access

Niko Zurstraßen, Lukas Jünger, Tim Kogel, Holger Keding, Rainer Leupers

1

citations
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

0

citations
DBLP Co-Authorship
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Complex Network Analysis Techniques Open access

Computational Network Science

0

citations
A survey of deep learning in image processing: developments, applications and challenges
2026 Artificial Intelligence Review article Computer Science Advanced Neural Network Applications Open access

Zhan Xiong, Xiaoqin Tang, Fons J. Verbeek

0

citations
DBLP Co-Authorship
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Complex Network Analysis Techniques Open access

Computational Network Science

0

citations
Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Xiaoyan Jiang, Bohan Wang, Hamido Fujita

0

citations
DBLP Co-Authorship
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Physics and Astronomy Complex Network Analysis Techniques Open access

Computational Network Science

0

citations
Deep learning of causal structures in high dimensions under data limitations
2023 Nature Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

65

citations
Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes
2024 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) conference-paper Computer Science Gaussian Processes and Bayesian Inference

Saksham Kiroriwal, Julius Pfrommer, Hendrik Mende, Robert Heinrich Schmitt, Jürgen Beyerer

1

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
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations