Search results
Results: 62
Number of items: 62
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Weiler, M., Forré, P., Verlinde, E., & Welling, M. (2026). Equivariant and Coordinate Independent Convolutional Networks: A Gauge Field Theory of Neural Networks. (Progress in Data Science; Vol. 1). World Scientific. https://doi.org/10.1142/14143
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Lang, L., de Mulatier, C., Quax, R., & Forré, P. (2026). Abstract Markov Random Fields. Compositionality, 8, Article 1. https://doi.org/10.46298/compositionality-8-1 -
Pandeva, T., Jonker, M. J., Hamoen, L., Mooij, J. M., & Forré, P. (2025). Robust Multi-view Co-expression Network Inference. Proceedings of Machine Learning Research, 275, 490-513. https://proceedings.mlr.press/v275/pandeva25a.html -
van Henten, G. B., Boelrijk, J., Kattenberg, C., Bos, T. S., Ensing, B., Forré, P., & Pirok, B. W. J. (2025). Comparison of optimization algorithms for automated method development of gradient profiles. Journal of Chromatography A, 1742, Article 465626. https://doi.org/10.1016/j.chroma.2024.465626 -
Lippert, F., Kranstauber, B., Forré, P., Dokter, A. M., & van Loon, E. E. (2025, April 27). Data from: Interpretable machine learning reveals context-dependent decision-making by migratory songbirds [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14913874
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