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A general-purpose probabilistic programming system with programmable inference
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…
Symbolic programming for the next generation of numerical software
Methods to soundly verify deep neural networks
A domain-specific probabilistic programming language for scalable Bayesian data cleaning