Sirisha Rambhatla

Theory-guided Machine Learning for the Real World

CPH 4358, 200 University Ave. W., Waterloo, ON, Canada

I am an Assistant Professor at the University of Waterloo with appointments in the

I am also affiliated with:

More details about my background at here: Curriculum Vitae

Areas of Interests

| Statistical Machine Learning | Sparse Signal Processing | Spatiotemporal Data Analysis | AI for Surgery and Healthcare | Interpretability of Deep Learning Models | Intelligent Automation and Manufacturing | Computer Vision |


Jun 6, 2022 Our work on spatio-temporal transformers for egocentric 3D pose estimation is accepted for oral presentation in the EPIC and Ego4D workshop at CVPR 2022. :star:
Mar 30, 2022 My work in collaboration with UHN, Toronto on forecasting trajectories of the waitlisted NASH patients using deep learning has been accepted for oral presentation at the International Liver Transplant Society’s annual meeting! :star:
Feb 22, 2022 I’ll be presenting our work – I-SEA: Importance Sampling and Expected Alignment-based Deep Distance Metric Learning for Time Series Analysis and Embedding at the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22) ! :star:
Jan 8, 2022 I am co-chairing the MINDS workshop at COMSNETS 2022! :star:
Dec 9, 2021 I am serving as the Senior Program and Mentorship co-chair for the WiML workshop at NeurIPS 2021! :star:

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