Semi-blind source separation via sparse representations and online dictionary learning. - Sirisha Rambhatla; Jarvis D. Haupt (ACSSC, 2013)

A dictionary based generalization of robust PCA. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (GlobalSIP, 2016)

Target-based hyperspectral demixing via generalized robust PCA. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (ACSSC, 2017)

TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. - Sirisha Rambhatla; Nikos D. Sidiropoulos; Jarvis D. Haupt (GlobalSIP, 2018)

Robust PCA via Dictionary Based Outlier Pursuit. - Xingguo Li; Jineng Ren; Sirisha Rambhatla; Yangyang Xu; Jarvis D. Haupt (ICASSP, 2018)

NOODL: Provable Online Dictionary Learning and Sparse Coding. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (ICLR (Poster), 2019)

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. - Sirisha Rambhatla; Xingguo Li; Jineng Ren; Jarvis D. Haupt (CoRR, 2019)

A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. - Sirisha Rambhatla; Xingguo Li; Jineng Ren; Jarvis D. Haupt (CoRR, 2019)

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. - Sirisha Rambhatla; Xingguo Li; Jarvis D. Haupt (NeurIPS, 2020)

How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. - Michael Tsang; Sirisha Rambhatla; Yan Liu 002 (NeurIPS, 2020)

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. - Karishma Sharma; Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Aastha Dua; Yan Liu 002 (CoRR, 2020)

Interpretable Deepfake Detection via Dynamic Prototypes. - Loc Trinh; Michael Tsang; Sirisha Rambhatla; Yan Liu 002 (CoRR, 2020)

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. - Sirisha Rambhatla; Sepanta Zeighami; Kameron Shahabi; Cyrus Shahabi; Yan Liu 002 (CoRR, 2020)

A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. - Sirisha Rambhatla; Xingguo Li; Jineng Ren; Jarvis D. Haupt (IEEE Trans. Signal Process., 2020)

DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. - Sirisha Rambhatla; Samantha Huang; Loc Trinh; Mengfei Zhang; Boyuan Long; Mingtao Dong; Vyom Unadkat; Haig Yenikomshian; Justin Gillenwater; Yan Liu 002 (AMIA, 2021)

Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. - Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Yan Liu 002 (IJCAI, 2021)

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. - Chuizheng Meng; Sirisha Rambhatla; Yan Liu 002 (KDD, 2021)

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. - Loc Trinh; Michael Tsang; Sirisha Rambhatla; Yan Liu 002 (WACV, 2021)

PolSIRD: Modeling Epidemic Spread Under Intervention Policies. - Nitin Kamra; Yizhou Zhang; Sirisha Rambhatla; Chuizheng Meng; Yan Liu 002 (J. Heal. Informatics Res., 2021)

I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. - Sirisha Rambhatla; Zhengping Che; Yan Liu 002 (AAAI, 2022)

Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. - Jinman Park; Kimathi Kaai; Saad Hossain; Norikatsu Sumi; Sirisha Rambhatla; Paul W. Fieguth (CoRR, 2022)

Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. - Sirisha Rambhatla; Sepanta Zeighami; Kameron Shahabi; Cyrus Shahabi; Yan Liu 002 (ACM Trans. Spatial Algorithms Syst., 2022)

Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. - Jinman Park; Kimathi Kaai; Saad Hossain; Norikatsu Sumi; Sirisha Rambhatla; Paul W. Fieguth (KDD, 2023)

Domain Generalization for Domain-Linked Classes. - Kimathi Kaai; Saad Hossain; Sirisha Rambhatla (CoRR, 2023)

Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks? - Jinman Park; Francois Barnard; Saad Hossain; Sirisha Rambhatla; Paul W. Fieguth (CoRR, 2023)

Self-Diagnosis and Large Language Models: A New Front for Medical Misinformation. - Francois Barnard; Marlize Van Sittert; Sirisha Rambhatla (CoRR, 2023)

Why do Variational Autoencoders Really Promote Disentanglement? - Pratik Bhowal; Achint Soni; Sirisha Rambhatla (ICML, 2024)

Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction. - Bavesh Balaji; Jerrin Bright; Yuhao Chen 001; Sirisha Rambhatla; John S. Zelek; David A. Clausi (NeurIPS, 2024)

Domain-Guided Masked Autoencoders for Unique Player Identification. - Bavesh Balaji; Jerrin Bright; Sirisha Rambhatla; Yuhao Chen 001; Alexander Wong; John S. Zelek; David A. Clausi (CoRR, 2024)

Discrete-Survival Compatibility Score for Donor-Recipient Matching in Liver Transplantation. - Yingke Wang; Eunice Tan; Yingji Sun; Mamatha Bhat; Xi He; Sirisha Rambhatla (Canadian AI, 2025)

SubTrack your Grad: Gradient Subspace Tracking for Memory and Time Efficient Full-Parameter LLM Training. - Sahar Rajabi; Nayeema Nonta; Sirisha Rambhatla (CoRR, 2025)

LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. - Chang Liu; Bavesh Balaji; Saad Hossain; C. Thomas; Kwei-Herng Lai; Raviteja Vemulapalli; Alexander Wong; Sirisha Rambhatla (CoRR, 2025)

LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing. - Achint Soni; Meet Soni; Sirisha Rambhatla (CoRR, 2025)

Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers. - Alice Rueda; Mohammed S. Hassan; Argyrios Perivolaris; Bazen G. Teferra; Reza Samavi; Sirisha Rambhatla; Yuqi Wu; Yanbo Zhang; Bo Cao; Divya Sharma; Sridhar Krishnan Venkat Bhat (CoRR, 2025)

Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework. - Alice Rueda; Argyrios Perivolaris; Niloy Roy; Dylan Weston; Sarmed Shaya; Zachary Cote; Martin Ivanov; Bazen G. Teferra; Yuqi Wu; Sirisha Rambhatla; Divya Sharma; Andrew Greenshaw; et al. (CoRR, 2025)

SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning. - Saad Hossain; Samanvay Vajpayee; Sirisha Rambhatla (CoRR, 2025)

Gen4D: Synthesizing Humans and Scenes in the Wild. - Jerrin Bright; Zhibo Wang; Yuhao Chen 001; Sirisha Rambhatla; John S. Zelek; David A. Clausi (CoRR, 2025)

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study. - Karisa Parkington; Bazen G. Teferra; Marianne Rouleau-Tang; Argyrios Perivolaris; Alice Rueda; Adam Dubrowski; Bill Kapralos; Reza Samavi; Andrew Greenshaw; Yanbo Zhang; Bo Cao; Yuqi Wu; et al. (CoRR, 2025)