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
- Management Science and Engineering Department, Faculty of Engineering,
- Systems Design Engineering, Faculty of Engineering, and
- David R. Cheriton School of Computer Science, Faculty of Mathematics.
I lead the Critical ML lab at the University of Waterloo. I am also affiliated with:
- The Waterloo Artificial Intelligence Institute (Waterloo.AI)
- The Waterloo Institute for Sustainable Aeronautics (WISA)
- The Waterloo Cybersecurity and Privacy Institute (CPI)
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 |
news
Oct 27, 2023 | Our work on Are all classes created equal? Domain Generalization for Domain-Linked Classes is accepted to the DistShift Workshop at NeurIPS 2023. |
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Aug 10, 2023 | Our work on domain-guided spatio-temporal transformers for egocentric 3D pose estimation is accepted at KDD 2023. |
Feb 2, 2023 | Do we really need stylization for Domain Adaptation, our workshop paper at the DistShift Workshop at ICLR 2023 investigates this question and develop a simple implicit stylization for domain adaptation. |
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. |
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! |