Laurent Boué

12 papers A* 1B 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning for pedestrians: backpropagation in Transformers.
CoRR
Laurent Boué
2024 J jnl
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.
CoRR
Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué
2024 J jnl
Fine-grained large-scale content recommendations for MSX sellers.
CoRR
Manpreet Singh, Ravdeep Pasricha, Ravi Prasad Kondapalli, Kiran Rama, Nitish Singh, Akshita Agarwalla, Manoj R, Manish Prabhakar, Laurent Boué
2024 A* conf
High Significant Fault Detection in Azure Core Workload Insights.
AAAI
Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran
2024 J jnl
High Significant Fault Detection in Azure Core Workload Insights.
CoRR
Pranay Lohia, Laurent Boué, Sharath Kumar Rangappa, Vijay Agneeswaran
2024 J jnl
Searching, fast and slow, through product catalogs.
CoRR
Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué
2023 B conf
Automatically Resolving Data Source Dependency Hell in Large Scale Data Science Projects.
CAIN
Laurent Boué, Pratap Kunireddy, Pavle Subotic
2023 J jnl
Domain specificity and data efficiency in typo tolerant spell checkers: the case of search in online marketplaces.
CoRR
Dayananda Ubrangala, Juhi Sharma, Ravi Prasad Kondapalli, Kiran Rama, Amit Agarwala, Laurent Boué
2023 J jnl
Improving search relevance of Azure Cognitive Search by Bayesian optimization.
CoRR
Nitin Agarwal, Ashish Kumar, Kiran Rama, Manish Gupta, Laurent Boué
2022 J jnl
A Data Source Dependency Analysis Framework for Large Scale Data Science Projects.
CoRR
Laurent Boué, Pratap Kunireddy, Pavle Subotic
2019 J jnl
Real numbers, data science and chaos: How to fit any dataset with a single parameter.
CoRR
Laurent Boué
2018 J jnl
Deep learning for pedestrians: backpropagation in CNNs.
CoRR
Laurent Boué