2 citations · 2 across the 4 of their papers we have counts for
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Symbolic Density Estimators for Unnormalized Distributions
Vikas Kanaujia, Riyansha Singh, Shashank Sharma +1
Estimating the symbolic or analytical form of probability density functions (PDFs) from observed samples is a fundamental challenge in statistical and computational modelling. This…
FUND: Density Flow for Sampling Unnormalised Distributions
Vikas Kanaujia, Vipul Arora
Efficient sampling from Boltzmann distributions is central to modelling complex physical systems. Markov Chain Monte Carlo (MCMC) methods suffer from critical slowing down, high au…
Testing Sparse Functions over the Reals
Vipul Arora, Arnab Bhattacharyya, Philips George John +1
Over the last three decades, function testing has been extensively studied over Boolean, finite fields, and discrete settings. However, to encode the real-world applications more s…