Bosser Tanguy

Université de Mons - UMONS > Faculté des Sciences > Service Big Data and Machine Learning

Main Referenced Co-authors

BEN TAIEB, Souhaib (2)

Main Referenced Keywords

event data (1); neural networks (1); recurrent neural networks (1); temporal point processes (1); Temporal Point Processes, Probabilistic modeling, Machine learning (1);

Main Referenced Disciplines

Computer science (2)

Publications (total 2)

Search in publications

The most downloaded

5 downloads

Bosser, T., & Ben taieb, S. (2023). On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. Transactions on Machine Learning Research. https://hdl.handle.net/20.500.12907/46174

Bosser, T., & Ben taieb, S. (2023). Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes. In Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-La-Neuve, Belgium: i6doc. doi:10.14428/esann/2023.es2023-64

https://hdl.handle.net/20.500.12907/48238

Peer reviewed

Bosser, T., & Ben taieb, S. (2023). On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data. Transactions on Machine Learning Research.

https://hdl.handle.net/20.500.12907/46174

Peer Reviewed verified by ORBi