20 citations · 26 across the 7 of their papers we have counts for
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cs.LG2020
Bayesian Neural Ordinary Differential Equations
Raj Dandekar, Karen Chung, Vaibhav Dixit +4
Recently, Neural Ordinary Differential Equations has emerged as a powerful framework for modeling physical simulations without explicitly defining the ODEs governing the system, bu…
cs.LG2020★ 2 cited
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
Mohamed Tarek, Kai Xu, Martin Trapp +2
We present the preliminary high-level design and features of DynamicPPL.jl, a modular library providing a lightning-fast infrastructure for probabilistic programming. Besides a com…