Laurent Carlier

According to our database, Laurent Carlier authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation.

Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation.

Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning.

Jeremi Assael, Thibaut Heurtebize, Laurent Carlier, François Soupé

CoRR, 2022

2020

Deep prediction of investor interest: A supervised clustering approach.

Baptiste Barreau, Laurent Carlier, Damien Challet

Algorithmic Finance, 2020

History-Augmented Collaborative Filtering for Financial Recommendations.

Baptiste Barreau, Laurent Carlier

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020