publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2021

  1. TSAS
    Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data.
    Rambhatla*, S., Zeighami*, S., Shahabi, K., Shahabi, C., and Liu., Y.
    ACM Transactions on Spatial Algorithms and Systems (TSAS) 2021
  2. Surgery
    Road to Automating Robotic Suturing Skills Assessment: Battling Mislabeling of the Ground Truth
    Hung, A. J., Rambhatla, S., Sanford, D. I., Pachauri, N., Vanstrum, E., Nguyen, J. H., and Liu, Y.
    Surgery 2021
  3. AMIA
    🏆 Oral Presentation
    DL4Burn: Burn surgical candidacy using multimodal deep learning.
    Huang*, S., Rambhatla*, S., Trinh, L., Zhang, M., Dong, M., Unadkat, V., Yenikomshian, H. A., Gillenwater, J., and Liu, Y.
    American Medical Informatics Association (AMIA) Annual Symposium 2021
  4. KDD
    Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
    Meng, C., Rambhatla, S., and Liu, Y.
    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2021
  5. AUA
    🏆 Podium Talk
    Automating suturing skills assessment with a limited surgeon dataset: Meta learning
    Hung, A. J., Rambhatla, S., Sanford, D. I., Pachauri, N., Nguyen, J. H., and Liu, Y.
    American Urology Association 2021
  6. IJCAI
    Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
    Seo, S., Meng, C., Rambhatla, S., and Liu, Y.
    International Joint Conferences on Artificial Intelligence (IJCAI) 2021
  7. ICLR Workshop
    Simulating continuous-time human mobility trajectories.
    Xu*, N., Trinh*, L., Rambhatla, S., Assefa, S., Chen, J., Zeng, Z., and Liu, Y.
    Deep Learning for Simulation Workshop, International Conference on Learning Representations (ICLR) 2021
  8. JHIR
    PolSIRD: Modeling Epidemic Spread under Intervention Policies and an Application to the Spread of COVID-19
    Kamra, N., Zhang, Y., Rambhatla, S., Meng, C., and Liu, Y.
    Journal of Healthcare Informatics Research 2021
  9. WACV
    Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes
    Trinh, L., Tsang, M., Rambhatla, S., and Liu, Y.
    IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
  10. Plastic Surgery
    Predicting burn surgical candidacy using deep learning on photographic images.
    Huang*, S., Rambhatla*, S., Trinh, L., Zhang, M., Dong, M., Unadkat, V., Lin, J., Sheth, M. K., Dang, J., Yenikomshian, H. A., Liu, Y., and Gillenwater, J.
    Plastic Surgery: The Meeting 2021

2020

  1. 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
  2. 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
  3. NeurIPS Workshop
    Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
    Seo, S., Meng, C., Rambhatla, S., and Liu, Y.
    Workshop on Machine Learning and the Physical Sciences, NeurIPS 2020
  4. Under Review
    Coronavirus on social media: Analyzing misinformation in Twitter conversations
    Sharma, K., Seo, S., Meng, C., Rambhatla, S., and Liu, Y.
    arXiv preprint arXiv:2003.12309 2020
  5. 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

2019

  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. Doctoral Thesis
    Provably Learning from Data: New Algorithms and Models for Matrix and Tensor Decompositions
    Rambhatla, S.
    University of Minnesota – Twin Cities, Minneapolis, MN 2019

2018

  1. ICASSP
    Robust PCA via Dictionary Based Outlier Pursuit
    Li, X., Ren, J., Rambhatla, S., Xu, Y., and Haupt, J.
    2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) 2018
  2. GlobalSIP
    TensorMap: Lidar-based Topological Mapping and Localization via Tensor Decompositions
    Rambhatla, S., Sidiropoulos, N., and Haupt, J.
    IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2018

2017

  1. Asilomar
    🏆 Best Paper Finalist
    Target-based hyperspectral demixing via generalized robust PCA
    Rambhatla, S., Li, X., and Haupt, J.
    51st Asilomar Conference on Signals, Systems, and Computers, 2017 2017

2016

  1. GlobalSIP
    🏆 NSF Travel Award
    A Dictionary Based Generalization of Robust PCA
    Rambhatla, S., Li, X., and Haupt, J.
    IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2016

2013

  1. Asilomar
    Semi-blind source separation via sparse representations and online dictionary learning
    Rambhatla, S., and Haupt, J.
    Asilomar Conference on Signals, Systems and Computers 2013

2012

  1. Masters Thesis
    Semi-blind source separation via sparse representations and online dictionary learning
    Rambhatla, S.
    University of Minnesota – Twin Cities, Minneapolis, MN 2012