no code implementations • 3 May 2024 • Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan
Probabilistic Circuits (PCs) have emerged as an efficient framework for representing and learning complex probability distributions.
no code implementations • 5 Mar 2024 • Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
We consider the problem of late multi-modal fusion for discriminative learning.
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.
