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Taco de Wolff
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2020 – today
- 2024
- [j3]Hugo Carrillo Lincopi, Taco de Wolff, Luis Martí, Nayat Sánchez-Pi:
Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach. AI Commun. 37(3): 397-409 (2024) - 2023
- [j2]Felipe A. Tobar, Elsa Cazelles, Taco de Wolff:
Computationally-efficient initialisation of GPs: The generalised variogram method. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [c3]Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi
:
MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks. GECCO Companion 2022: 228-231 - [c2]Taco de Wolff
, Hugo Carrillo Lincopi
, Luis Martí
, Nayat Sánchez-Pi
:
Optimal Architecture Discovery for Physics-Informed Neural Networks. IBERAMIA 2022: 77-88 - [i4]Felipe A. Tobar, Elsa Cazelles, Taco de Wolff:
Computationally-efficient initialisation of GPs: The generalised variogram method. CoRR abs/2210.05394 (2022) - 2021
- [j1]Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
MOGPTK: The multi-output Gaussian process toolkit. Neurocomputing 424: 49-53 (2021) - [i3]Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi:
Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling. CoRR abs/2106.08747 (2021) - 2020
- [c1]Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
Gaussian Process Imputation of Multiple Financial Series. ICASSP 2020: 8444-8448 - [i2]Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
MOGPTK: The Multi-Output Gaussian Process Toolkit. CoRR abs/2002.03471 (2020) - [i1]Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
Gaussian process imputation of multiple financial series. CoRR abs/2002.05789 (2020)
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