
CrossNode Federated Graph Neural Network for SpatioTemporal Data Modeling
Vast amount of data generated from networks of sensors, wearables, and t...
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Towards Accurate Spatiotemporal COVID19 Risk Scores using High Resolution RealWorld Mobility Data
As countries look towards reopening of economic activities amidst the o...
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Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
We consider the problem of factorizing a structured 3way tensor into it...
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Interpretable Deepfake Detection via Dynamic Prototypes
Deepfake is one notorious application of deep learning research, leading...
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How does this interaction affect me? Interpretable attribution for feature interactions
Machine learning transparency calls for interpretable explanations of ho...
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Physicsaware Spatiotemporal Modules with Auxiliary Tasks for MetaLearning
Modeling the dynamics of realworld physical systems is critical for spa...
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COVID19 on Social Media: Analyzing Misinformation in Twitter Conversations
The ongoing Coronavirus Disease (COVID19) pandemic highlights the inter...
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Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations
The ongoing Coronavirus Disease (COVID19) pandemic highlights the inter...
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NOODL: Provable Online Dictionary Learning and Sparse Coding
We consider the dictionary learning problem, where the aim is to model t...
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TensorMap: LidarBased Topological Mapping and Localization via Tensor Decompositions
We propose a technique to develop (and localize in) topological maps fro...
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Targetbased Hyperspectral Demixing via Generalized Robust PCA
Localizing targets of interest in a given hyperspectral (HS) image has a...
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A DictionaryBased Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing
We consider the task of localizing targets of interest in a hyperspectra...
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A DictionaryBased Generalization of Robust PCA Part I: Study of Theoretical Properties
We consider the decomposition of a data matrix assumed to be a superposi...
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A Dictionary Based Generalization of Robust PCA
We analyze the decomposition of a data matrix, assumed to be a superposi...
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Semiblind Source Separation via Sparse Representations and Online Dictionary Learning
This work examines a semiblind singlechannel source separation problem...
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Sirisha Rambhatla
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