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stat.ME2026
VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
Somjit Roy, Pritam Dey, Bani K. Mallick
Symbolic regression (SR) has gained recent traction in AI-driven scientific discovery for learning closed-form physical laws. Yet existing methods are dominated by heuristic search…
stat.ME2026
A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods
Somjit Roy, Pritam Dey, Debdeep Pati +1
Variational inference, as an alternative to Markov chain Monte Carlo sampling, has played a transformative role in enabling scalable computation for complex Bayesian models. Nevert…
stat.ME2025
Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests
Somjit Roy, Pritam Dey, Debdeep Pati +1
Symbolic regression has emerged as a powerful tool for artificial intelligence-driven scientific discovery by learning interpretable analytical expressions that reveal governing re…