• Cerebro: A Layered Data Platform for Scalable Deep Learning
    Arun Kumar, Supun Nakandala, Yuhao Zhang, Side Li, Advitya Gemawat, and Kabir Nagrecha
    CIDR 2021 (Vision paper) | Paper PDF and BibTeX | Talk video
  • Cerebro: Efficient and Reproducible Model Selection on Deep Learning Systems
    Supun Nakandala, Yuhao Zhang, and Arun Kumar
    ACM SIGMOD 2019 DEEM Workshop | Paper PDF and BibTeX | Blog post
  • Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches
    Yuhao Zhang, Frank McQuillan, Nandish Jayaram, Nikhil Kak, Ekta Khanna, Orhan Kislal, Domino Valdano, and Arun Kumar
    VLDB 2021 | Paper PDF | TechReport | Talk video | Code release
  • Hydra: A Data System for Large Multi-Model Deep Learning
    Kabir Nagrecha and Arun Kumar
    Under submission | TechReport
  • Model Parallel Model Selection for Deep Learning Systems
    Kabir Nagrecha
    SIGMOD 2021 (Student Research Competition Winner) | Arxiv
  • Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets
    Supun Nakandala and Arun Kumar
    SIGMOD 2022 | Paper PDF | TechReport | Code Release
  • Intermittent Human-in-the-Loop Model Selection using Cerebro: A Demonstration
    Liangde Li, Supun Nakandala, and Arun Kumar
    VLDB 2021 Demo | Paper PDF | TechReport | Video
  • CHAP-child: An open source method for estimating sit-to-stand transitions and seden- tary bout patterns from hip accelerometers among children
    Jordan A. Carlson et al. (15 authors)
    International Journal of Behavioral Nutrition and Physical Activity 2022 | Paper PDF | Code, Models, and Documentation
  • CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data from Hip- Worn Accelerometers in Adults Aged 35+
    John Bellettiere et al. (14 authors)
    Journal for the Measurement of Physical Behaviour 2022 | PDF coming soon | | Code, Models, and Documentation
  • The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study
    Mikael Anne Greenwood-Hickman, Supun Nakandala, Marta M. Jankowska, Fatima Tuz-Zahra, John Bellettiere, Jordan Carlson, Paul R. Hibbing, Jingjing Zou, Andrea Z. LaCroix, Arun Kumar, and Loki Natarajan
    Medicine and Science in Sports and Exercise Journal, 2021 | Paper PDF | Code, Models, and Documentation
  • Application of Convolutional Neural Network Algorithms for Advancing Sedentary and Activity Bout Classification
    Supun Nakandala, Marta Jankowska, Fatima Tuz-Zahra, John Bellettiere, Jordan Carlson, Andrea LaCroix, Sheri Hartman, Dori Rosenberg, Jingjing Zou, Arun Kumar, and Loki Natarajan
    Journal for the Measurement of Physical Behaviour, 2021 | Paper PDF and BibTeX | Code, Models, and Documentation