Taco de Wolff

According to our database, Taco de Wolff authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach.

Hugo Carrillo Lincopi, Taco de Wolff, Luis Martí, Nayat Sánchez-Pi

AI Commun., 2024

Detection of Manatee Vocalisations Using the Audio Spectrogram Transformer.

Stefano Schiappacasse, Taco de Wolff, Yann Henaut, Regina Cervera, Aviva Charles, Felipe A. Tobar

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Computationally-efficient initialisation of GPs: The generalised variogram method.

Felipe A. Tobar, Elsa Cazelles, Taco de Wolff

Trans. Mach. Learn. Res., 2023

2022

Optimal Architecture Discovery for Physics-Informed Neural Networks.

Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

MOPINNs: an evolutionary multi-objective approach to physics-informed neural networks.

Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

MOGPTK: The multi-output Gaussian process toolkit.

Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar

Neurocomputing, 2021

Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling.

Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi

CoRR, 2021

2020

Gaussian Process Imputation of Multiple Financial Series.

Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020