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Papers matching “network inference” 496

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CrossTalkeR: Analysis and Visualisation of Ligand Receptor Networks
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

James Shiniti Nagai, Nils B. Leimkühler, Michael T. Schaub, Rebekka K. Schneider, Ivan G. Costa

9

citations
A comparison of transformer and CNN-based object detection models for surface defects on Li-Ion Battery Electrodes
2024 Journal of Energy Storage article Engineering Industrial Vision Systems and Defect Detection Open access

Dennis Grunert, Robert Heinrich Schmitt

24

citations
Social Interaction With an Anonymous Opponent Requires Increased Involvement of the Theory of Mind Neural System: An fMRI Study
2022 Frontiers in Behavioral Neuroscience article Psychology Child and Animal Learning Development Open access

Maya Zheltyakova, Alexander D. Korotkov, Ruslan S. Masharipov, Artem Myznikov, Michael Didur, Denis V. Cherednichenko, +4 more

6

citations
A statistical and machine learning approach to the study of astrochemistry
2023 Faraday Discussions article Physics and Astronomy Astrophysics and Star Formation Studies Open access

Johannes Heyl, S. Viti, Gijs Vermariën

5

citations
Identifying Causal Structure in Dynamical Systems
2020 arXiv (Cornell University) preprint Engineering Control Systems and Identification Open access

Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe

2

citations
Genetic correlation, and causal relationships between 3 solid cancer types and human traits
2024 Network Modeling Analysis in Health Informatics and Bioinformatics article Biochemistry, Genetics and Molecular Biology Genetic Associations and Epidemiology

Claudia Cava, Ehsan Nazemalhosseini Mojarad, Isabella Castiglioni

1

citations
Learning Discretized Bayesian Networks with GOMEA
2024 Lecture notes in computer science conference-paper Computer Science Bayesian Modeling and Causal Inference Open access

Damy M. F. Ha, Tanja Alderliesten, Peter A. N. Bosman

1

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
PEtab-dev/libpetab-python: libpetab-python v0.8.0
2025 Zenodo (CERN European Organization for Nuclear Research) software Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

0

citations
Applying causality to environmental security in Iraq
2025 Scientific Reports article Social Sciences Transboundary Water Resource Management Open access

Ninoslav Malekovic, Maarten Vonk, Laura Birkman, Tim Sweijs, Anna V. Kononova, Thomas Bäck

0

citations
Generative AI-enhanced road distress identification and quantification under data-scarce and complex environmental conditions
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Infrastructure Maintenance and Monitoring Open access

0

citations
Weisfeiler and Leman’s Unlikely Journey from Graph Isomorphism to Neural Networks (Invited Talk)
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Graph Theory and Algorithms Open access

Martin Grohe

0

citations
PEtab-dev/libpetab-python: libpetab-python v0.8.1
2026 Zenodo (CERN European Organization for Nuclear Research) software Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Daniel Weindl, Yannik Schaelte, Dilan Pathirana, Polina Lakrisenko, Fabian Fröhlich, Simon Jens Merkt, +14 more

0

citations
DeltaLLM: Delta-Key Sparse Attention for Edge LLMs
2026 IEEE transactions on circuits and systems for artificial intelligence. article Computer Science Advanced Neural Network Applications

Jiawen Qi, Jiayu Liu, Chang Gao, Zhaochun Ren, Qinyu Chen

0

citations
Integration of Key-value Attention into Pure and Hybrid Transformers for Semantic Segmentation
2025 Informatik aktuell conference-paper Computer Science Advanced Neural Network Applications Open access

DeShin Hwa, Klaus Drechsler

0

citations
Context-dependent molecular responses to heterogeneous metabolic disease traits
2026 medRxiv preprint Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access

Theodora-Dafni Michalettou, Sapna Sharma, Natalie N. Atabaki, Juan J. Fernandez-Tajes, Mun‐Gwan Hong, Jonathan Adam, +34 more

0

citations
APPLYING PQUANTML TO LARGE ARCHITECTURES: TRANSFORMERS FOR HIGH ENERGY PHYSICS
2026 Zenodo (CERN European Organization for Nuclear Research) report Computer Science Advanced Neural Network Applications Open access

Dino Cheng, Roope Oskari Niemi, M. Pierini

0

citations
Functional Structure in Production Networks
2021 Frontiers in Big Data article Physics and Astronomy Complex Network Analysis Techniques Open access

Cees G. H. Diks

15

citations
Functional structure in production networks
2021 Leiden Repository (Leiden University) article Physics and Astronomy Complex Network Analysis Techniques Open access

Carolina E. S. Mattsson, Frank W. Takes, Eelke M. Heemskerk, Cees G. H. Diks, Gert Buiten, Albert Faber, +1 more

13

citations
Structural conserved moiety splitting of a stoichiometric matrix
2020 Journal of Theoretical Biology article Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access

Susan Ghaderi, Hulda S. Haraldsdóttir, Masoud Ahookhosh, Sylvain Arreckx, Ronan M. T. Fleming

7

citations
Phases of Small Worlds: A Mean Field Formulation
2022 Journal of Statistical Physics article Physics and Astronomy Complex Network Analysis Techniques Open access

Andrew David Jackson, Subodh P. Patil

6

citations
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture
2020 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Advanced Neural Network Applications Open access

Christopher Brix, Parnia Bahar, Hermann Ney

22

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 IEEE International Conference on Machine Learning and Applications (ICMLA) conference-paper Computer Science Advanced Neural Network Applications

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

8

citations
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
2022 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Cecilia Latotzke, Batuhan Balim, Tobias Gemmeke

0

citations
APPLYING PQUANTML TO LARGE ARCHITECTURES: TRANSFORMERS FOR HIGH ENERGY PHYSICS
2026 Zenodo (CERN European Organization for Nuclear Research) report Open access

Dino Cheng, Roope Niemi, M. Pierini

0

citations