Sirisha Rambhatla

Theory-guided Machine Learning for the Real World

CPH 4301, 200 University Ave. W., Waterloo, ON, Canada

I am an Assistant Professor in Information Sciences and Data Analytics at the Management Sciences Department in the Faculty of Engineering at the University of Waterloo. I am also affiliated with the Waterloo Artificial Intelligence Institute (Waterloo.AI).

Previously, I was a Postdoctoral fellow at the Melady Lab mentored by Prof. Yan Liu in the Computer Science Department, Viterbi School of Engineering, at the University of Southern California. I undertook my doctoral studies with Prof. Jarvis Haupt in the Department of Electrical and Computer Engineering at the University of Minnesota-Twin Cities.

Curriculum Vitae

     

Areas of Interests

| Statistical Machine Learning | Sparse Signal Processing | Spatiotemporal Data Analysis | AI for Surgery and Healthcare | Interpretability of Deep Learning Models |

news

Aug 17, 2021 Our work on Battling Mislabeling in Robotic Surgical Skill Assessment has been accepted to Surgery! :star:
Aug 8, 2021 Our work on high resolution spatiotemporal COVID-19 risk scores has been accepted to ACM Transactions on Spatial Algorithms and Systems (TSAS)! :star:
Jul 15, 2021 I am starting as a Tenure-Track Assistant Professor at UWaterloo! :tada:
Jun 14, 2021 DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning accepted to AMIA Annual Symposium 2021! :star:
Jun 1, 2021 Predicting Burn Surgical Candidacy Using Deep Learning on Photographic Images accepted to Plastic Surgery: the Meeting 2021! :rotating_light:

selected publications

  1. ICLR
    🏆 Travel Award
    NOODL: Provable Online Dictionary Learning and Sparse Coding
    Rambhatla, S., Li, X., and Haupt, J.
    International Conference on Learning Representations (ICLR) 2019
  2. NeurIPS
    Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
    Rambhatla, S., Li, X., and Haupt, J.
    Advances in Neural Information Processing Systems (NeurIPS) 2020
  3. NeurIPS
    How does this interaction affect me? Interpretable attribution for feature interactions
    Tsang, M., Rambhatla, S., and Liu, Y.
    Advances in Neural Information Processing Systems (NeurIPS) 2020
  4. TSP
    A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging
    Rambhatla, S., Li, X., Ren, J., and Haupt, J.
    IEEE Tran. on Signal Processing 2020