Sirisha Rambhatla

52 papers A* 8A 1Misc 4Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boundary-aware semantic segmentation for ice hockey rink registration. Comput. Vis. Image Underst. Zhibo Wang, Amir Nazemi, Stephie Liu, Sirisha Rambhatla, Yuhao Chen, David A. Clausi
2026	J	`jnl`	TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering. CoRR Saad Hossain, Tom Tseng, Punya Syon Pandey, Samanvay Vajpayee, Matthew Kowal, Nayeema Nonta, Samuel Simko, Stephen Casper, Zhijing Jin, Kellin Pelrine, Sirisha Rambhatla
2025	J	`jnl`	Avatar4D: Synthesizing Domain-Specific 4D Humans for Real-World Pose Estimation. CoRR Jerrin Bright, Zhibo Wang, Dmytro Klepachevskyi, Yuhao Chen, Sirisha Rambhatla, David A. Clausi, John S. Zelek
2025	J	`jnl`	Bringing Equity to Classification: Domain Generalization for Domain-Linked Classes. IEEE Trans. Pattern Anal. Mach. Intell. Kimathi Kaai, Saad Hossain, Sirisha Rambhatla
2025	—	`conf`	Discrete-Survival Compatibility Score for Donor-Recipient Matching in Liver Transplantation. Canadian AI Yingke Wang, Eunice Tan, Yingji Sun, Mamatha Bhat, Xi He, Sirisha Rambhatla
2025	J	`jnl`	Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework. CoRR 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, Rakesh Jetly, Yanbo Zhang, Bo Cao, Reza Samavi, Sridhar Krishnan, Venkat Bhat
2025	J	`jnl`	Gen4D: Synthesizing Humans and Scenes in the Wild. CoRR Jerrin Bright, Zhibo Wang, Yuhao Chen, Sirisha Rambhatla, John S. Zelek, David A. Clausi
2025	J	`jnl`	Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study. CoRR 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, Sirisha Rambhatla, Sridhar Krishnan, Venkat Bhat
2025	J	`jnl`	LOCATEdit: Graph Laplacian Optimized Cross Attention for Localized Text-Guided Image Editing. CoRR Achint Soni, Meet Soni, Sirisha Rambhatla
2025	J	`jnl`	LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. CoRR Chang Liu, Bavesh Balaji, Saad Hossain, C. Thomas, Kwei-Herng Lai, Raviteja Vemulapalli, Alexander Wong, Sirisha Rambhatla
2025	J	`jnl`	Randomized Gradient Subspaces for Efficient Large Language Model Training. CoRR Sahar Rajabi, Nayeema Nonta, Samanvay Vajpayee, Sirisha Rambhatla
2025	J	`jnl`	SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning. CoRR Saad Hossain, Samanvay Vajpayee, Sirisha Rambhatla
2025	J	`jnl`	SubTrack your Grad: Gradient Subspace Tracking for Memory and Time Efficient Full-Parameter LLM Training. CoRR Sahar Rajabi, Nayeema Nonta, Sirisha Rambhatla
2025	J	`jnl`	Understanding LLM Scientific Reasoning through Promptings and Model's Explanation on the Answers. CoRR 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
2024	J	`jnl`	Domain-Guided Masked Autoencoders for Unique Player Identification. CoRR Bavesh Balaji, Jerrin Bright, Sirisha Rambhatla, Yuhao Chen, Alexander Wong, John S. Zelek, David A. Clausi
2024	A*	`conf`	Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction. NeurIPS Bavesh Balaji, Jerrin Bright, Yuhao Chen, Sirisha Rambhatla, John S. Zelek, David A. Clausi
2024	A*	`conf`	Why do Variational Autoencoders Really Promote Disentanglement? ICML Pratik Bhowal, Achint Soni, Sirisha Rambhatla
2023	J	`jnl`	Domain Generalization for Domain-Linked Classes. CoRR Kimathi Kaai, Saad Hossain, Sirisha Rambhatla
2023	A*	`conf`	Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. KDD Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth
2023	J	`jnl`	Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks? CoRR Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul W. Fieguth
2023	J	`jnl`	Self-Diagnosis and Large Language Models: A New Front for Medical Misinformation. CoRR Francois Barnard, Marlize Van Sittert, Sirisha Rambhatla
2022	J	`jnl`	Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. CoRR Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth
2022	A*	`conf`	I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. AAAI Sirisha Rambhatla, Zhengping Che, Yan Liu
2022	J	`jnl`	Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. ACM Trans. Spatial Algorithms Syst. Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2021	A*	`conf`	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. KDD Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. CoRR Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	Misc	`conf`	DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. AMIA Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu
2021	A	`conf`	Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes. WACV Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
2021	A*	`conf`	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	PolSIRD: Modeling Epidemic Spread Under Intervention Policies. J. Heal. Informatics Res. Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu
2020	J	`jnl`	A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging. IEEE Trans. Signal Process. Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
2020	J	`jnl`	Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
2020	A*	`conf`	How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions. NeurIPS Michael Tsang, Sirisha Rambhatla, Yan Liu
2020	J	`jnl`	How does this interaction affect me? Interpretable attribution for feature interactions. CoRR Michael Tsang, Sirisha Rambhatla, Yan Liu
2020	J	`jnl`	Interpretable Deepfake Detection via Dynamic Prototypes. CoRR Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
2020	J	`jnl`	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2020	A*	`conf`	Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. NeurIPS Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2020	J	`jnl`	Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2020	J	`jnl`	Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. CoRR Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2019	J	`jnl`	A Dictionary Based Generalization of Robust PCA. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	A Dictionary-Based Generalization of Robust PCA Part I: Study of Theoretical Properties. CoRR Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
2019	J	`jnl`	A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing. CoRR Sirisha Rambhatla, Xingguo Li, Jineng Ren, Jarvis D. Haupt
2019	—	`conf`	NOODL: Provable Online Dictionary Learning and Sparse Coding. ICLR (Poster) Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	NOODL: Provable Online Dictionary Learning and Sparse Coding. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	Target-based Hyperspectral Demixing via Generalized Robust PCA. CoRR Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2019	J	`jnl`	TensorMap: Lidar-Based Topological Mapping and Localization via Tensor Decompositions. CoRR Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
2018	Misc	`conf`	Robust PCA via Dictionary Based Outlier Pursuit. ICASSP Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt
2018	—	`conf`	TensorMap: LIDAR-Based Topological Mapping and Localization via Tensor Decompositions. GlobalSIP Sirisha Rambhatla, Nikos D. Sidiropoulos, Jarvis D. Haupt
2017	Misc	`conf`	Target-based hyperspectral demixing via generalized robust PCA. ACSSC Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2016	—	`conf`	A dictionary based generalization of robust PCA. GlobalSIP Sirisha Rambhatla, Xingguo Li, Jarvis D. Haupt
2013	Misc	`conf`	Semi-blind source separation via sparse representations and online dictionary learning. ACSSC Sirisha Rambhatla, Jarvis D. Haupt
2012	J	`jnl`	Semi-blind Source Separation via Sparse Representations and Online Dictionary Learning CoRR Sirisha Rambhatla, Jarvis D. Haupt