Philippe Dreesen (P.)
Key publicaties
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Usevich, K., Zniyed, Y., Ishteva, M., Dreesen, P., & Almeida, A. L. F. D. (2023). Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. In 2023 31st European Signal Processing Conference (EUSIPCO) (pp. 655-659). Article 10289900 The IEEE. https://doi.org/10.23919/EUSIPCO58844.2023.10289900Meer informative over deze publicatie
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Joshi, S., Dreesen, P., Bonizzi, P., Karel, J., Peeters, R., & Boussé, M. (2024). Novel Tensor-based Singular Spectrum Decomposition. In 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings (pp. 1327-1331). IEEE. https://doi.org/10.23919/EUSIPCO63174.2024.10715185Meer informative over deze publicatie
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Verbeke, D., Ishteva, M., & Dreesen, P. (2023). MIMO transfer function decoupling by Loewner tensorization. IFAC-PapersOnLine, 56(2), 7300-7305. https://doi.org/10.1016/j.ifacol.2023.10.342Meer informative over deze publicatie
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De Jonghe, J., Usevich, K., Dreesen, P., & Ishteva, M. (2023). Compressing Neural Networks with Two-Layer Decoupling. In 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023 (pp. 226-230). IEEE. https://doi.org/10.1109/CAMSAP58249.2023.10403509Meer informative over deze publicatie
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Vijayan, P., Dreesen, P., Lataire, J., & Ishteva, M. (2023). Demonstrating equivalence between PNLSS and Volterra models for some SISO block-oriented models. 25-25. Poster session presented at 2023 workshop of the European Research Network on System Identification (ERNSI), Stockholm, Sweden.Meer informative over deze publicatie