5 papers
Marginally Correct Tool Caches Can Reverse Group-Normalized Policy Updates
Shivam Gupta
Tool-result caching reduces repeated execution in agent training, but also couples rollout randomness. We study a two-action model in which independent and shared execution preserv…
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
Pritam Dey, Rajarshi Guhaniyogi, Yang Ni +1
Spatially resolved transcriptomics is a fast-developing set of technologies that enables the measurement of localized gene expression across spatial locations in a sample. Detectin…
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…
Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests
Somjit Roy, Pritam Dey, Bani K. Mallick +1
Symbolic regression has emerged as a powerful tool for artificial intelligence-driven scientific discovery by learning interpretable analytical expressions that reveal governing re…
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…