| MOGPTK: The multi-output Gaussian process toolkit T de Wolff, A Cuevas, F Tobar Neurocomputing 424, 49-53, 2021 | 38 | 2021 |
| Assessing physics informed neural networks in ocean modelling and climate change applications T de Wolff, H Carrillo, L Martí, N Sanchez-Pi AI: Modeling Oceans and Climate Change Workshop at ICLR 2021, 2021 | 21 | 2021 |
| Towards optimally weighted physics-informed neural networks in ocean modelling T de Wolff, H Carrillo, L Martí, N Sanchez-Pi arXiv preprint arXiv:2106.08747, 2021 | 20 | 2021 |
| Gaussian process imputation of multiple financial series T de Wolff, A Cuevas, F Tobar ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 16 | 2020 |
| Mogptk: The multi-output gaussian process toolkit T de Wolff, A Cuevas, F Tobar arXiv preprint arXiv:2002.03471, 2020 | 15 | 2020 |
| Mopinns: an evolutionary multi-objective approach to physics-informed neural networks T de Wolff, HC Lincopi, L Martí, N Sanchez-Pi Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 6 | 2022 |
| Report# 4:: Estimation of maximal ICU beds demand for COVID-19 outbreak in some Chilean regions and the effects of different mitigation strategies A Cancino, C Castillo, T De Wolff, P Gajardo, R Lecaros, C Munoz, ... Technical report, CMM-AM2V-CEPS, 03 2020. URL: http://covid-19. cmm. uchile. cl, 2020 | 6 | 2020 |
| Assessment of event-triggered policies of nonpharmaceutical interventions based on epidemiological indicators C Castillo-Laborde, T de Wolff, P Gajardo, R Lecaros, G Olivar-Tost, ... Journal of Mathematical Biology 83, 1-35, 2021 | 4 | 2021 |
| Report# 5: scenarios for the opening schools during the Chilean COVID-19 outbreak C Álvarez, A Cancino, C Castillo, T de Wolff, P Gajardo, R Lecaros, ... | 3 | 2020 |
| Model-based academic dismissal policies: a case-study from the Netherlands C Albers, C Vermue, T de Wolff, H Beldhuis | 2 | 2018 |
| Detection of manatee vocalisations using the Audio Spectrogram Transformer S Schiappacasse, T de Wolff, Y Henaut, R Cervera, A Charles, F Tobar arXiv preprint arXiv:2407.18083, 2024 | | 2024 |
| Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach H Carrillo, T de Wolff, L Martí, N Sanchez-Pi AI Communications, 1-13, 2023 | | 2023 |
| Optimal Architecture Discovery for Physics-Informed Neural Networks T de Wolff, H Carrillo, L Martí, N Sanchez-Pi Ibero-American Conference on Artificial Intelligence, 77-88, 2022 | | 2022 |
| Computationally-efficient initialisation of GPs: The generalised variogram method F Tobar, E Cazelles, T de Wolff arXiv preprint arXiv:2210.05394, 2022 | | 2022 |
| Assessment of event-triggered policies of nonpharmaceutical interventions based on epidemiological indicators T de Wolff, C Castillo, P Gajardo, R Lecaros, G Olivar, H Ramírez | | 2021 |
| ANALISIS COSTO-EFECTIVIDAD DE CUARENTENAS DINAMICAS ACTIVADAS POR DIFERENTES INDICADORES PARA EL CONTROL DEL COVID-19 C Álvarez, C Castillo, T de Wolff, P Gajardo, R Lecaros, A Osses, ... | | |
