Author

Ananth Grama

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Open access Aug 2026

Solving High-Dimensional Population Balance Equations via Dynamics-Preserving Autoencoders

A hybrid mechanistic-machine learning framework for reducing and simulating PBEs defined over high-dimensional intracellular coordinates provides a computationally tractable and mechanistically interpretable route for integrating single-cell genomic data with population balance models of cell-state dynamics.

Prateek Gupta, Shourya Verma, Ananth Grama et al. · bioRxiv · 0 citations

Temperature Sampling is Entropy-Optimal: An Information-Theoretic Framework for LLM Decoding

This paper develops a rigorous information-theoretic framework for non-repetitive sequence generation and uses it to provide theoretical underpinnings for temperature-based sampling, and extends it to the practically relevant and novel online setting, where the model’s token distributions evolve and are revealed sequen...

Jin Sima, Nikolaos Papagiannis, Ananth Grama et al. · 0 citations