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Author

Sanvesh Srivastava

3 papers indexed here

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Preprint Aug 2026

Sparse Separable Factor Analysis in the Complex Domain with an Application to Local Field Potential Data

Complex-valued arrays arise in signal processing, where scientific interpretation depends on retaining amplitude and phase information. Existing covariance estimation methods either ignore the multiway organization of such data or rely on real-domain embeddings that do not directly exploit their complex structure. We d...

Ian Hultman, Kirtikanth Kalapatapu, Yassine Filali et al. · 0 citations
#machine learning Preprint Sep 2026

Structured Latent Modeling for Supervised Multimodal Information Decomposition

Multimodal prediction relies on diverse forms of evidence: information repeated across modalities, cues specific to a single source, and complex cross-modal dependencies that emerge only when inputs are considered together. While recent methods promote richer interactions, they lack a principled way to isolate these ta...

Wan-Ting Huang, Sanvesh Srivastava, Wei-Ran Wang · 0 citations

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