Sirisha Rambhatla

According to our database, Sirisha Rambhatla authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Domain-Guided Masked Autoencoders for Unique Player Identification.

Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John S. Zelek, David A. Clausi

CoRR, 2024

Why do Variational Autoencoders Really Promote Disentanglement?

Pratik Bhowal, Achint Soni, Sirisha Rambhatla

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Self-Diagnosis and Large Language Models: A New Front for Medical Misinformation.

Francois Barnard, Marlize Van Sittert, 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

Domain Generalization for Domain-Linked Classes.

Kimathi Kaai, Saad Hossain, Sirisha Rambhatla

CoRR, 2023

Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation.

Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

ACM Trans. Spatial Algorithms Syst., 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

I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding.

Sirisha Rambhatla, Zhengping Che, Yan Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PolSIRD: Modeling Epidemic Spread Under Intervention Policies.

Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu

J. Heal. Informatics Res., 2021

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes.

Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling.

Chuizheng Meng, Sirisha Rambhatla, Yan Liu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning.

Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data.

Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu

CoRR, 2020

Interpretable Deepfake Detection via Dynamic Prototypes.

Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu

CoRR, 2020

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations.

Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu

CoRR, 2020

How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions.

Michael Tsang, Sirisha Rambhatla, Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning.

Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties.

Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt

CoRR, 2019

NOODL: Provable Online Dictionary Learning and Sparse Coding.

Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Robust PCA via Dictionary Based Outlier Pursuit.

Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions.

Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Target-based hyperspectral demixing via generalized robust PCA.

Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

A dictionary based generalization of robust PCA.

Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2013

Semi-blind source separation via sparse representations and online dictionary learning.

Sirisha Rambhatla, Jarvis D. Haupt

Proceedings of the 2013 Asilomar Conference on Signals, 2013