Research output per year
Research output per year
Personal profile
Personal information
Christian Franssen is a PhD candidate at the department of Operations Analytics of the Vrije Universiteit Amsterdam. Additionally, he is an external researcher at De Nederlandsche Bank (the central bank of the Netherlands).
Research
My research is mainly focussed on the application of optimization theory in network science to gain insights and understanding of network-modelled financial and organizational structures.
Teaching
I am involved in the following courses:
- Operations Research I - BSc Econometrics & Operations Research (Vrije Universiteit Amsterdam)
- Simulation Analysis & Optimization - MScRes Business Data Science (joint initiative Erasmus University Rotterdam, University of Amsterdam and Vrije Universiteit Amsterdam)
- Simulation Methods for Optimization and Learning - 2023 Globex Julmester (Peking University).
I am also supervising MSc. students writing their thesis in the Econometrics & Operations Research program at the Vrije Universiteit Amsterdam.
Ancillary activities
No ancillary activities
Ancillary activities are updated daily
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Collaborations and top research areas from the last five years
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Research output
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Advances in Network Analysis and Optimization
Franssen, C. P. C., 17 Feb 2026, 187 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile12 Downloads (Pure) -
A First-Order Gradient Approach for the Connectivity Optimization of Markov Chains
Franssen, C. P. C., Zocca, A. & Heidergott, B. F., Feb 2026, In: IEEE Transactions on Automatic Control.Research output: Contribution to Journal › Article › Academic › peer-review
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A Practical Guide to Interpretable Role-Based Clustering in Multi-Layer Financial Networks
Franssen, C., van Lelyveld, I. & Heidergott, B., 1 Jul 2025, arXiv.org.Research output: Working paper / Preprint › Working paper › Professional
File28 Downloads (Pure) -
CoNNect: A Swiss-Army-Knife Regularizer for Pruning of Neural Networks
Franssen, C., Jiang, J., Peng, Y. & Heidergott, B., 2 Feb 2025, arXiv.org.Research output: Working paper / Preprint › Preprint › Professional
File127 Downloads (Pure) -
CoNNect: Connectivity-Based Regularization for Structural Pruning of Neural Networks
Franssen, C., Jiang, J., Peng, Y. & Heidergott, B., 2025, In: Transactions on Machine Learning Research. September, p. 1-27 27 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Datasets
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Feature-Based Network Construction (FBNC)
Franssen, C. (Creator), GitHub, 2025
https://github.com/cfn420/fbnc
Dataset / Software: Software
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Markov Chain SPSA Optimization
Franssen, C. (Creator), GitHub, 2025
https://github.com/cfn420/mcopt
Dataset / Software: Software
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CoNNect: Connectivity-based regularization for neural networks
Franssen, C. (Creator) & Jiang, J. (Creator), GitHub, 2025
https://github.com/cfn420/CoNNect
Dataset / Software: Software
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Interpretable Role-Based Clustering
Franssen, C. (Creator), GitHub, 2025
https://github.com/cfn420/irbc
Dataset / Software: Software