About us
The Robert Bosch Centre for Data Science and AI (RBCDSAI) aims to leverage data science to give insights to make actionable, reliable and impactful decisions for adoption in engineering, finance and healthcare domains. We are one of the pre-eminent interdisciplinary research centres for Data Science and AI in India with the largest network analytics, deep reinforcement learning, and the most active natural language processing and deep learning groups.
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Publications
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce
https://arxiv.org/abs/2311.16171
HODLRdD: A new black-box fast algorithm for N-body problems in d-dimensions with guaranteed error bounds: Applications to integral equations and support vector machines
https://doi.org/10.1016/j.jcp.2024.112786
Hybrid self-supervised learning-based architecture for construction progress monitoring
https://doi.org/10.1016/j.autcon.2023.105225
HODLR3D: hierarchical matrices or N-body problems in three dimensions.
https://doi.org/10.1007/s11075-024-01765-4
Event-Triggered Control for Nonlinear Systems With Center Manifolds
https://doi.org/10.1109/TAC.2024.3388912
Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy
https://arxiv.org/pdf/2404.16706
Distributionally Robust Optimization with Bias and Variance Reduction
https://arxiv.org/pdf/2310.13863
Data Driven Monitoring of IOT enabled Water Distribution Networks
https://wdsa-ccwi2022.upv.es/
Cost-Sensitive Trees for Interpretable Reinforcement Learning
https://doi.org/10.1145/3632410.3632443