137 citations · 488 across the 26 of their papers we have counts for
3 papers · 1 filter
Learning From Scenarios for Stochastic Repairable Scheduling
Kim van den Houten, David M. J. Tax, Esteban Freydell +1
When optimizing problems with uncertain parameter values in a linear objective, decision-focused learning enables end-to-end learning of these values. We are interested in a stocha…
Personalized Anomaly Detection in PPG Data using Representation Learning and Biometric Identification
Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax
Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions t…
iPINNs: Incremental learning for Physics-informed neural networks
Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax +1
Physics-informed neural networks (PINNs) have recently become a powerful tool for solving partial differential equations (PDEs). However, finding a set of neural network parameters…