Laurent Boué

According to our database, Laurent Boué authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.

Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué

CoRR, 2024

Searching, fast and slow, through product catalogs.

Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué

CoRR, 2024

High Significant Fault Detection in Azure Core Workload Insights.

Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving search relevance of Azure Cognitive Search by Bayesian optimization.

Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué

CoRR, 2023

Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces.

Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli, Kiran Rama, Amit Agarwala, Laurent Boué

CoRR, 2023

Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects.

Laurent Boué, Pratap Kunireddy, Pavle Subotic

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

A Data Source Dependency Analysis Framework for Large Scale Data Science Projects.

Laurent Boué, Pratap Kunireddy, Pavle Subotic

CoRR, 2022

2019

Real numbers, data science and chaos: How to fit any dataset with a single parameter.

Laurent Boué

CoRR, 2019

2018

Deep learning for pedestrians: backpropagation in CNNs.

Laurent Boué

CoRR, 2018