105 citations · 722 across the 40 of their papers we have counts for
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hep-ph2025★ 1 cited
Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model
Rajneil Baruah, Subhadeep Mondal, Sunando Kumar Patra +1
We propose a novel technique for sampling particle physics model parameter space. The main sampling method applied is Nested Sampling (NS), which is boosted by the application of m…
hep-ph2025★ 1 cited
Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference
Atrideb Chatterjee, Arghya Choudhury, Sourav Mitra +2
Some of the issues that make sampling parameter spaces of various beyond the Standard Model (BSM) scenarios computationally expensive are the high dimensionality of the input param…