Explaining Deep Tractable Probabilistic Models: The sum-product network case

1 code implementation • 19 Oct 2021 • Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan

We consider the problem of explaining a class of tractable deep probabilistic models, the Sum-Product Networks (SPNs) and present an algorithm ExSPN to generate explanations.

Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models

1 code implementation • NeurIPS 2021 • Matej Zečević, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting

While probabilistic models are an important tool for studying causality, doing so suffers from the intractability of inference.

Causal Inference