Author

S. Ramanna

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#machine learning Preprint Sep 2026

LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies

LexLattice is introduced, an extractive summarizer that reifies a legal act's hierarchy as a two-dimensional semantic lattice and consolidates over it with a masked 2D neural cellular automata before selection and position explicit consolidation over document structure as a compact and traceable alternative to scale fo...

S. U. Rittikar, S. Ramanna · 0 citations

Open access Sep 2026

DiMoE: Disentangled Representation Learning with Mixture of Experts Fusion for Sentiment Intensity Prediction and Emotion Classification

DiMoE is proposed, a representation-first framework that integrates feature disentanglement with sparse Mixture of Experts (MoE) fusion, indicating that explicit modality disentanglement combined with Mixture of Experts fusion yields effective multimodal affective representations.

M. S. Sran, S. Ramanna, K. Kotecha · Algorithms · 0 citations