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ORCIDSirisha Rambhatla
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2020 – today
- 2024
[c15]Pratik Bhowal, Achint Soni, Sirisha Rambhatla:
Why do Variational Autoencoders Really Promote Disentanglement? ICML 2024- [i19]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 abs/2403.11328 (2024) - 2023
- [c14]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: 1837-1849 - [i18]Kimathi Kaai, Saad Hossain, Sirisha Rambhatla:
Domain Generalization for Domain-Linked Classes. CoRR abs/2306.00879 (2023) - [i17]Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul W. Fieguth:
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks? CoRR abs/2306.01706 (2023) - [i16]Francois Barnard, Marlize Van Sittert, Sirisha Rambhatla:
Self-Diagnosis and Large Language Models: A New Front for Medical Misinformation. CoRR abs/2307.04910 (2023) - 2022
- [j3]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): 1-30 (2022) - [c13]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: 8045-8053 - [i15]Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth:
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. CoRR abs/2206.04785 (2022) - 2021
- [j2]Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu:
PolSIRD: Modeling Epidemic Spread Under Intervention Policies. J. Heal. Informatics Res. 5(3): 231-248 (2021) - [c12]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 - [c11]Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI 2021: 2943-2949 - [c10]Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. KDD 2021: 1202-1211 - [c9]Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu:
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. WACV 2021: 1972-1982 - [i14]Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. CoRR abs/2106.05223 (2021) - 2020
- [j1]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: 1760-1775 (2020) - [c8]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS 2020 - [c7]Michael Tsang, Sirisha Rambhatla, Yan Liu:
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. NeurIPS 2020 - [i13]Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu:
Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR abs/2003.12309 (2020) - [i12]Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu:
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR abs/2006.08831 (2020) - [i11]Michael Tsang, Sirisha Rambhatla, Yan Liu:
How does this interaction affect me? Interpretable attribution for feature interactions. CoRR abs/2006.10965 (2020) - [i10]Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu:
Interpretable Deepfake Detection via Dynamic Prototypes. CoRR abs/2006.15473 (2020) - [i9]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR abs/2006.16442 (2020) - [i8]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 abs/2012.07283 (2020)
2010 – 2019
- 2019
- [c6]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) 2019 - [i7]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
A Dictionary Based Generalization of Robust PCA. CoRR abs/1902.08171 (2019) - [i6]Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt:
A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR abs/1902.08304 (2019) - [i5]Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt:
TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. CoRR abs/1902.10226 (2019) - [i4]Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt:
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR abs/1902.10238 (2019) - [i3]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR abs/1902.11111 (2019) - [i2]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR abs/1902.11261 (2019) - 2018
- [c5]Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt:
TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. GlobalSIP 2018: 1368-1372 - [c4]Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt:
Robust PCA via Dictionary Based Outlier Pursuit. ICASSP 2018: 4699-4703 - 2017
- [c3]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
Target-based hyperspectral demixing via generalized robust PCA. ACSSC 2017: 420-424 - 2016
- [c2]Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt:
A dictionary based generalization of robust PCA. GlobalSIP 2016: 1315-1319 - 2013
- [c1]Sirisha Rambhatla, Jarvis D. Haupt:
Semi-blind source separation via sparse representations and online dictionary learning. ACSSC 2013: 1687-1691 - 2012
- [i1]Sirisha Rambhatla, Jarvis D. Haupt:
Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning. CoRR abs/1212.0451 (2012)
Coauthor Index
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