8 citations · 14 across the 7 of their papers we have counts for
7 papers
QStore: Quantization-Aware Compressed Model Storage
Raunak Shah, Zhaoheng Li, Yongjoo Park
Modern applications commonly leverage large, multi-modal foundation models. These applications often feature complex workflows that demand the storage and usage of similar models i…
Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings
Weston Pace, Chang She, Lei Xu +4
The growing interest in artificial intelligence has created workloads that require both sequential and random access. At the same time, NVMe-backed storage solutions have emerged,…
R2D2: Reducing Redundancy and Duplication in Data Lakes
Raunak Shah, Koyel Mukherjee, Atharv Tyagi +4
Enterprise data lakes often suffer from substantial amounts of duplicate and redundant data, with data volumes ranging from terabytes to petabytes. This leads to both increased sto…
DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region
Naishadh Parmar, Raunak Shah, Tushar Goswamy +5
The identification and control of human factors in climate change is a rapidly growing concern and robust, real-time air-quality monitoring and forecasting plays a critical role in…
IIT Kanpur Consulting Group: Using Machine Learning and Management Consulting for Social Good
Tushar Goswamy, Vatsalya Tandon, Naishadh Parmar +2
The IIT Kanpur Consulting Group is one of the pioneering research groups in India which focuses on the applications of Machine Learning and Strategy Consulting for social good. The…
Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
Bin Cheng, Inderjot Singh Saggu, Raunak Shah +2
Solving depth estimation with monocular cameras enables the possibility of widespread use of cameras as low-cost depth estimation sensors in applications such as autonomous driving…
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
Tushar Goswamy, Naishadh Parmar, Ayush Gupta +8
This research paper proposes a COVID-19 monitoring and response system to identify the surge in the volume of patients at hospitals and shortage of critical equipment like ventilat…