Author

Shashank Sharma

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#machine learning Preprint Oct 2026

Symbolic Density Estimators for Unnormalized Distributions

Estimating the symbolic or analytical form of probability density functions (PDFs) from observed samples is a fundamental challenge in statistical and computational modelling. This process is critical for deriving interpretable and generalizable relationships characterizing the underlying phenomenon. Traditionally, thi...

V. Kanaujia, Riyansha Singh, Shashank Sharma et al. · 0 citations

Preprint Sep 2026

Probing Criticality Using GMM-Based Potentials

Spin models with a given symmetry are easier to sample than scalar theories with the same symmetry on a lattice, as the constrained nature of spin variables enables cheap heat-bath updates. However, this constraint suppresses radial fluctuations, and consequently, spin models cannot be used to study the phenomena of sp...

Shashank Sharma, D. Chakrabarti, Vipul Arora · 1 citation