Functional Tensors for Probabilistic Programming — mentioned by lejalv

Wed, 21 Jan 2026 09:01:56 GMT

This reminds me of funsors in the Pyro probabilistic programming language. From the design document (https://docs.google.com/document/d/1NVlfQnNQ0Aebg8vfIGcJKsnS...) Functions are first class objects. Funsors generalize the tensor interface to also cover arbitrary functions of multiple variables ("dims"), where variables may be integers, real numbers or themselves tensors. Function evaluation / substitution is the basic operation, generalizing tensor indexing. This allows probability distributions to be first-class Funsors and make use of existing tensor machinery, for example we can…

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Functional Tensors for Probabilistic Programming — mentioned by fritzo

Sun, 30 Jul 2023 14:25:06 GMT

Plug for the Funsor library, written by Eli Bingham and me for use in the Pyro and NumPyro probabilistic programming languages. We tried to take the "functions are tensors" perspective and make a numpy-like library for functions, aimed mostly at the log-density functions of probability distributions. Paper: "Functional Tensors for Probabilistic Programming" (2019) https://arxiv.org/abs/1910.10775 Code: https://github.com/pyro-ppl/funsor

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Functional Tensors for Probabilistic Programming · HackerPapers discussions

Functional Tensors for Probabilistic Programming — mentioned by lejalv

Functional Tensors for Probabilistic Programming — mentioned by fritzo