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High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling2026 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Basita Das, William Heymann, Yueming Wang, Uwe Rau, Thomas Kirchartz, Tonio Buonassisi
0citations -
Species abundance correlations carry limited information about microbial network interactions2022 PLoS Computational Biology article Environmental Science Microbial Community Ecology and Physiology Open access
Susanne Pinto, Elisa Benincà, Egbert H. van Nes, Marten Scheffer, Johannes A. Bogaards
33citations -
Reduced Precision Strategies for Deep Learning : A High Energy Physics Generative Adversarial Network Use Case2021 RWTH Publications (RWTH Aachen) conference-paper Computer Science Advanced Neural Network Applications Open access
Florian Rehm, Sofia Vallecorsa, Vikram A. Saletore, Hans Pabst, Adel Chaibi, Valeriu Codreanu, +2 more
12citations -
An online notebook resource for reproducible inference, analysis and publication of gene regulatory networks2022 Nature Methods article Biochemistry, Genetics and Molecular Biology Gene Regulatory Network Analysis Open access
Marouen Ben Guebila, Deborah A. Weighill, Camila M. Lopes‐Ramos, Rebekka Burkholz, Romana T Pop, Kalyan Palepu, +8 more
13citations -
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent
Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more
17citations -
Abstract rule generalization for composing novel meaning recruits a frontoparietal control network2025 Imaging Neuroscience conference-abstract Neuroscience Neurobiology of Language and Bilingualism Open access
Xiaochen Zheng, Mona M. Garvert, Hanneke E.M. den Ouden, Lisa I. Horstman, David Richter, Roshan Cools
1citations -
Network analysis: An overview for mental health research2024 International Journal of Methods in Psychiatric Research article Psychology Mental Health Research Topics Open access
Giovanni Briganti, Marco Scutari, Sacha Epskamp, Denny Borsboom, Ria H. A. Hoekstra, Hudson Fernandes Golino, +16 more
140citations -
A strategy to incorporate prior knowledge into correlation network cutoff selection2020 Nature Communications article Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access
Elisa Benedetti, Maja Pučić‐Baković, Toma Keser, Nathalie Gerstner, Mustafa Büyüközkan, Tamara Štambuk, +9 more
29citations -
Trans-dimensional Bayesian model averaging for $^{13}$C-based metabolic flux analysis: Evidence-based flux inference under structural model uncertainty2026 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access
Johann F. Jadebeck, Anton Stratmann, Martin Beyß, Katharina Nöh
0citations -
Reconstructing firm-level interactions in the Dutch input–output network from production constraints2022 Scientific Reports article Physics and Astronomy Complex Network Analysis Techniques Open access
Leonardo Niccolò Ialongo, Camille de Valk, Emiliano Marchese, Hicham Zmarrou, Tiziano Squartini, Diego Garlaschelli
32citations -
Unfolding the Electromagnetic Field from Voltage Time Traces using a Neural Network Approach2023 International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA) conference-paper Physics and Astronomy Astrophysics and Cosmic Phenomena Open access
Maximilian Straub, Martin Erdmann, Katharina Hafner, Josina Schulte
0citations -
Fluctuating ecological networks: A synthesis of maximum‐entropy approaches for pattern detection and process inference2022 Methods in Ecology and Evolution article Agricultural and Biological Sciences Plant and animal studies Open access
Tancredi Caruso, Giulio Virginio Clemente, Matthias C. Rillig, Diego Garlaschelli
19citations -
Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access
Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2citations