Joachim Schreurs

Orcid: 0000-0001-8670-2553

According to our database1, Joachim Schreurs authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting.
IEEE Trans. Evol. Comput., 2023

2022
Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems.
SIAM J. Math. Data Sci., September, 2022

Disentangled Representation Learning and Generation With Manifold Optimization.
Neural Comput., 2022

Nyström landmark sampling and regularized Christoffel functions.
Mach. Learn., 2022

2021
Diversity Sampling is an Implicit Regularization for Kernel Methods.
SIAM J. Math. Data Sci., 2021

Outlier detection in non-elliptical data by kernel MRCD.
Stat. Comput., 2021

Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning.
Neural Networks, 2021

The Bures Metric for Generative Adversarial Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems.
CoRR, 2020

Outlier detection in non-elliptical data by kernel MRCD.
CoRR, 2020

Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes.
CoRR, 2020

The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks.
CoRR, 2020

Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
Generative Restricted Kernel Machines.
CoRR, 2019

Latent Space Exploration Using Generative Kernel PCA.
Proceedings of the Artificial Intelligence and Machine Learning, 2019

Towards Deterministic Diverse Subset Sampling.
Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018
Generative Kernel PCA.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018


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