Sirisha Rambhatla

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 34

Top Topics

Dimensionality Reduction

Feature Interactions

Principal Components Analysis

Metric Learning

Top Venues

Publications

Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John S. Zelek, David A. Clausi
Domain-Guided Masked Autoencoders for Unique Player Identification. CoRR (2024)
Francois Barnard, Marlize Van Sittert, Sirisha Rambhatla
Self-Diagnosis and Large Language Models: A New Front for Medical Misinformation. CoRR (2023)
Kimathi Kaai, Saad Hossain, Sirisha Rambhatla
Domain Generalization for Domain-Linked Classes. CoRR (2023)
Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul W. Fieguth
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks? CoRR (2023)
Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth
Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. KDD (2023)
Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. ACM Trans. Spatial Algorithms Syst. 8 (2) (2022)
Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. CoRR (2022)
Sirisha Rambhatla, Zhengping Che, Yan Liu
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. AAAI (2022)
Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. KDD (2021)
Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. CoRR (2021)
Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu
PolSIRD: Modeling Epidemic Spread Under Intervention Policies. J. Heal. Informatics Res. 5 (3) (2021)
Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. WACV (2021)
Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI (2021)
Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu
DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. AMIA (2021)
Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR (2020)
Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR (2020)
Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
Interpretable Deepfake Detection via Dynamic Prototypes. CoRR (2020)
Michael Tsang, Sirisha Rambhatla, Yan Liu
How does this interaction affect me? Interpretable attribution for feature interactions. CoRR (2020)
Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. CoRR (2020)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR (2020)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. IEEE Trans. Signal Process. 68 (2020)
Michael Tsang, Sirisha Rambhatla, Yan Liu
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. NeurIPS (2020)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS (2020)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
A Dictionary Based Generalization of Robust PCA. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) (2019)
Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR (2019)
Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR (2019)
Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt
Robust PCA via Dictionary Based Outlier Pursuit. ICASSP (2018)
Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. GlobalSIP (2018)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
Target-based hyperspectral demixing via generalized robust PCA. ACSSC (2017)
Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
A dictionary based generalization of robust PCA. GlobalSIP (2016)
Sirisha Rambhatla, Jarvis D. Haupt
Semi-blind source separation via sparse representations and online dictionary learning. ACSSC (2013)
Sirisha Rambhatla, Jarvis D. Haupt
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning CoRR (2012)